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[ { "type": "text", "value": "WorkerSafetyQAEval: A new benchmark to evaluate worker safety domain question and answering", "raw": "WorkerSafetyQAEval: A new benchmark to evaluate worker safety domain question and answering", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Happy to share a new benchmark on question and answers for worker safety domain. The benchmark and leaderboard is available at ", "raw": "Happy to share a new benchmark on question and answers for worker safety domain. The benchmark and leaderboard is available at ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/datasets/codelion/worker-safety-qa-eval", "resource": { "type": "dataset", "id": "codelion/worker-safety-qa-eval", "discussionNum": null }, "url": "https://huggingface.co/datasets/codelion/worker-safety-qa-eval", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "We evaluate popular generic chatbots like ChatGPT and HuggingChat on WorkerSafetyQAEval and compare it with a domain specific RAG bot called Securade.ai Safety Copilot - ", "raw": "We evaluate popular generic chatbots like ChatGPT and HuggingChat on WorkerSafetyQAEval and compare it with a domain specific RAG bot called Securade.ai Safety Copilot - ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/codelion/safety-copilot", "resource": { "type": "space", "id": "codelion/safety-copilot", "discussionNum": null }, "url": "https://huggingface.co/spaces/codelion/safety-copilot", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": " It highlights the importance of having domain specific knowledge for critical domains like worker safety that require high accuracy. Securade.ai Safety Copilot achieves ~97% on the benchmark setting a new SOTA.", "raw": " It highlights the importance of having domain specific knowledge for critical domains like worker safety that require high accuracy. Securade.ai Safety Copilot achieves ~97% on the benchmark setting a new SOTA.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "You can read more about the Safety Copilot on ", "raw": "You can read more about the Safety Copilot on ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://securade.ai/blog/how-securade-ai-safety-copilot-transforms-worker-safety.html", "resource": null, "url": null, "href": "https://securade.ai/blog/how-securade-ai-safety-copilot-transforms-worker-safety.html", "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": " ", "raw": " ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "Phased Consistency Model", "raw": "Phased Consistency Model", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/papers/2405.18407", "resource": { "type": "paper", "id": "2405.18407", "discussionNum": null }, "url": "https://huggingface.co/papers/2405.18407", "href": null, "user": null, "lang": null, "code": null, "label": "Phased Consistency Model (2405.18407)" }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "The consistency model (CM) has recently made significant progress in accelerating the generation of diffusion models. However, its application to high-resolution, text-conditioned image generation in the latent space (a.k.a., LCM) remains unsatisfactory. In this paper, we identify three key flaws in the current design of LCM. We investigate the reasons behind these limitations and propose the Phased Consistency Model (PCM), which generalizes the design space and addresses all identified limitations. Our evaluations demonstrate that PCM significantly outperforms LCM across 1--16 step generation settings. While PCM is specifically designed for multi-step refinement, it achieves even superior or comparable 1-step generation results to previously state-of-the-art specifically designed 1-step methods. Furthermore, we show that PCM's methodology is versatile and applicable to video generation, enabling us to train the state-of-the-art few-step text-to-video generator. ", "raw": "The consistency model (CM) has recently made significant progress in accelerating the generation of diffusion models. However, its application to high-resolution, text-conditioned image generation in the latent space (a.k.a., LCM) remains unsatisfactory. In this paper, we identify three key flaws in the current design of LCM. We investigate the reasons behind these limitations and propose the Phased Consistency Model (PCM), which generalizes the design space and addresses all identified limitations. Our evaluations demonstrate that PCM significantly outperforms LCM across 1--16 step generation settings. While PCM is specifically designed for multi-step refinement, it achieves even superior or comparable 1-step generation results to previously state-of-the-art specifically designed 1-step methods. Furthermore, we show that PCM's methodology is versatile and applicable to video generation, enabling us to train the state-of-the-art few-step text-to-video generator. ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "You are happy that ", "raw": "You are happy that ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "mention", "value": null, "raw": "@mistralai", "resource": null, "url": null, "href": null, "user": "mistralai", "lang": null, "code": null, "label": null }, { "type": "text", "value": " is releasing a new model 😊", "raw": " is releasing a new model 😊", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "You become even more happy to see it's a completely new coding model 😄", "raw": "You become even more happy to see it's a completely new coding model 😄", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Then you become sad because the model is licensed under MNLP 😔", "raw": "Then you become sad because the model is licensed under MNLP 😔", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Before we talk about MNLP, here is the gist of the model:", "raw": "Before we talk about MNLP, here is the gist of the model:", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🏷️Name: Codestral (Code + Mistral 😂)", "raw": "🏷️Name: Codestral (Code + Mistral 😂)", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🚀 22B parameters", "raw": "🚀 22B parameters", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🌐 Supports 80 programming languages (including Python, Java, C, C++, bash, swift, and more)", "raw": "🌐 Supports 80 programming languages (including Python, Java, C, C++, bash, swift, and more)", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🏆 Outperforms Llama 3 70B and Code Llama 70B on HumanEval and MBPP", "raw": "🏆 Outperforms Llama 3 70B and Code Llama 70B on HumanEval and MBPP", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🏆 Outperforms DeepSeek Coder 33B on HumanEval", "raw": "🏆 Outperforms DeepSeek Coder 33B on HumanEval", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "📜 32K context window (longer than Llama 3, DeepSeek, or Code Llama)", "raw": "📜 32K context window (longer than Llama 3, DeepSeek, or Code Llama)", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🤖 Supports both code assistant and code completion use cases", "raw": "🤖 Supports both code assistant and code completion use cases", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "More details: ", "raw": "More details: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://mistral.ai/news/codestral/", "resource": null, "url": null, "href": "https://mistral.ai/news/codestral/", "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/mistralai/Codestral-22B-v0.1", "resource": { "type": "model", "id": "mistralai/Codestral-22B-v0.1", "discussionNum": null }, "url": "https://huggingface.co/mistralai/Codestral-22B-v0.1", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Now what's MNLP? It's a non-commercial license for Mistral models that Codestral is released under! More here: ", "raw": "Now what's MNLP? It's a non-commercial license for Mistral models that Codestral is released under! More here: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://mistral.ai/news/mistral-ai-non-production-license-mnpl/", "resource": null, "url": null, "href": "https://mistral.ai/news/mistral-ai-non-production-license-mnpl/", "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Don't be sad... 😃 There is another model that's open source and actually gives better performance on HumanEval: ", "raw": "Don't be sad... 😃 There is another model that's open source and actually gives better performance on HumanEval: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/Bin12345/AutoCoder", "resource": { "type": "model", "id": "Bin12345/AutoCoder", "discussionNum": null }, "url": "https://huggingface.co/Bin12345/AutoCoder", "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "What We Learned from a Year of Building with LLMs", "raw": "What We Learned from a Year of Building with LLMs", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "It's a nice perspective outlined in here. ", "raw": "It's a nice perspective outlined in here. ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "“When a measure becomes a target, it ceases to be a good measure.”", "raw": "“When a measure becomes a target, it ceases to be a good measure.”", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "— Goodhart’s Law", "raw": "— Goodhart’s Law", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://www.oreilly.com/radar/what-we-learned-from-a-year-of-building-with-llms-part-i/", "resource": null, "url": null, "href": "https://www.oreilly.com/radar/what-we-learned-from-a-year-of-building-with-llms-part-i/", "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "😐 Hello, there are a couple of interesting things. The first is that I will soon release several pretty cool SDXL models, the second is a little sad, I conducted long-term tests of training and merging of XL models and realized that XL will not improve soon, the architecture will not allow us to continue pushing realism and other interesting things into it, the entire community has brought XL closer to the maximum ideal on its architecture.", "raw": "😐 Hello, there are a couple of interesting things. The first is that I will soon release several pretty cool SDXL models, the second is a little sad, I conducted long-term tests of training and merging of XL models and realized that XL will not improve soon, the architecture will not allow us to continue pushing realism and other interesting things into it, the entire community has brought XL closer to the maximum ideal on its architecture.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "🚀🎭🌟 New Research Alert - CVPR 2024 (Avatars Collection)! 🌟🎭🚀", "raw": "🚀🎭🌟 New Research Alert - CVPR 2024 (Avatars Collection)! 🌟🎭🚀", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "📄 Title: Relightable Gaussian Codec Avatars 🔝", "raw": "📄 Title: Relightable Gaussian Codec Avatars 🔝", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "📝 Description: Relightable Gaussian Codec Avatars is a method for creating highly detailed and relightable 3D head avatars that can animate expressions in real time and support complex features such as hair and skin with efficient rendering suitable for VR.", "raw": "📝 Description: Relightable Gaussian Codec Avatars is a method for creating highly detailed and relightable 3D head avatars that can animate expressions in real time and support complex features such as hair and skin with efficient rendering suitable for VR.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "👥 Authors: ", "raw": "👥 Authors: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "mention", "value": null, "raw": "@psyth", "resource": null, "url": null, "href": null, "user": "psyth", "lang": null, "code": null, "label": null }, { "type": "text", "value": ", ", "raw": ", ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "mention", "value": null, "raw": "@GBielXONE02", "resource": null, "url": null, "href": null, "user": "GBielXONE02", "lang": null, "code": null, "label": null }, { "type": "text", "value": ", Tomas Simon, Junxuan Li, and ", "raw": ", Tomas Simon, Junxuan Li, and ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "mention", "value": null, "raw": "@giljoonam", "resource": null, "url": null, "href": null, "user": "giljoonam", "lang": null, "code": null, "label": null }, { "type": "text", "value": " ", "raw": " ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "📅 Conference: CVPR, Jun 17-21, 2024 | Seattle WA, USA 🇺🇸", "raw": "📅 Conference: CVPR, Jun 17-21, 2024 | Seattle WA, USA 🇺🇸", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "📄 Paper: ", "raw": "📄 Paper: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/papers/2312.03704", "resource": { "type": "paper", "id": "2312.03704", "discussionNum": null }, "url": "https://huggingface.co/papers/2312.03704", "href": null, "user": null, "lang": null, "code": null, "label": "Relightable Gaussian Codec Avatars (2312.03704)" }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🌐 GitHub Page: ", "raw": "🌐 GitHub Page: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://shunsukesaito.github.io/rgca/", "resource": null, "url": null, "href": "https://shunsukesaito.github.io/rgca/", "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🚀 CVPR-2023-24-Papers: ", "raw": "🚀 CVPR-2023-24-Papers: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://github.com/DmitryRyumin/CVPR-2023-24-Papers", "resource": null, "url": null, "href": "https://github.com/DmitryRyumin/CVPR-2023-24-Papers", "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "📚 More Papers: more cutting-edge research presented at other conferences in the ", "raw": "📚 More Papers: more cutting-edge research presented at other conferences in the ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/DmitryRyumin/NewEraAI-Papers", "resource": { "type": "space", "id": "DmitryRyumin/NewEraAI-Papers", "discussionNum": null }, "url": "https://huggingface.co/spaces/DmitryRyumin/NewEraAI-Papers", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": " curated by ", "raw": " curated by ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "mention", "value": null, "raw": "@DmitryRyumin", "resource": null, "url": null, "href": null, "user": "DmitryRyumin", "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🚀 Added to the Avatars Collection: ", "raw": "🚀 Added to the Avatars Collection: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/collections/DmitryRyumin/avatars-65df37cdf81fec13d4dbac36", "resource": { "type": "collection", "id": "DmitryRyumin/avatars-65df37cdf81fec13d4dbac36", "discussionNum": null }, "url": "https://huggingface.co/collections/DmitryRyumin/avatars-65df37cdf81fec13d4dbac36", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🔍 Keywords: #3DAvatars #RealTimeRendering #RelightableAvatars #3DModeling #VirtualReality #CVPR2024 #DeepLearning #ComputerGraphics #ComputerVision #Innovation #VR", "raw": "🔍 Keywords: #3DAvatars #RealTimeRendering #RelightableAvatars #3DModeling #VirtualReality #CVPR2024 #DeepLearning #ComputerGraphics #ComputerVision #Innovation #VR", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "Introducing Image Generator Pro", "raw": "Introducing Image Generator Pro", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/KingNish/Image-Gen-Pro", "resource": { "type": "space", "id": "KingNish/Image-Gen-Pro", "discussionNum": null }, "url": "https://huggingface.co/spaces/KingNish/Image-Gen-Pro", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "It is Expert in Text to Image generation, Sequential Image generation or Image Editing.", "raw": "It is Expert in Text to Image generation, Sequential Image generation or Image Editing.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Examples:", "raw": "Examples:", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "# HelpingAI 9B: Cutting Edge Emotionally Intelligent AI", "raw": "# HelpingAI 9B: Cutting Edge Emotionally Intelligent AI", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "If you have ever felt that AI not understand your emotions or you not get human like fell while taking to him than this blog is for you!", "raw": "If you have ever felt that AI not understand your emotions or you not get human like fell while taking to him than this blog is for you!", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "In this BlogPost we will be exploring [HelpingAI 9B](", "raw": "In this BlogPost we will be exploring [HelpingAI 9B](", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/spaces/Abhaykoul/HelpingAI-9B", "resource": null, "url": null, "href": "https://huggingface.co/spaces/Abhaykoul/HelpingAI-9B", "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": ") is an Highly Emotionally Intelligent AI which beated all top notch ai like GPT4o, GPT4, Claude3 Opus on EQ-Bench. ", "raw": ") is an Highly Emotionally Intelligent AI which beated all top notch ai like GPT4o, GPT4, Claude3 Opus on EQ-Bench. ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "## What is HelpingAI 9B?", "raw": "## What is HelpingAI 9B?", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "![image/png](", "raw": "![image/png](", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://cdn-uploads.huggingface.co/production/uploads/6612aedf09f16e7347dfa7e1/FrNhr3WhMhvvD-dNplHxZ.png", "resource": null, "url": null, "href": "https://cdn-uploads.huggingface.co/production/uploads/6612aedf09f16e7347dfa7e1/FrNhr3WhMhvvD-dNplHxZ.png", "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": ")", "raw": ")", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "HelpingAI-9B is the fine-tuned Llama2 model crafted for emotionally intelligent conversations. This model excels in empathetic engagement, offering understanding and support through dialogue spanning various topics and situations. Its goal is to serve as a supportive AI companion, adept at resonating with users' emotions and communication requirements.", "raw": "HelpingAI-9B is the fine-tuned Llama2 model crafted for emotionally intelligent conversations. This model excels in empathetic engagement, offering understanding and support through dialogue spanning various topics and situations. Its goal is to serve as a supportive AI companion, adept at resonating with users' emotions and communication requirements.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "## Method", "raw": "## Method", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "We gathered a large volume of high-quality human chat data, which was then filtered and refined to create three types of datasets:", "raw": "We gathered a large volume of high-quality human chat data, which was then filtered and refined to create three types of datasets:", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "1. DPO - Initially, we trained the AI on a substantial DPO dataset to grasp human conversation patterns, enabling it to discern which types of output to generate and which to avoid.", "raw": "1. DPO - Initially, we trained the AI on a substantial DPO dataset to grasp human conversation patterns, enabling it to discern which types of output to generate and which to avoid.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "2. Alpaca - Subsequently, we trained it on an Alpaca-type dataset to enhance its human-like responses.", "raw": "2. Alpaca - Subsequently, we trained it on an Alpaca-type dataset to enhance its human-like responses.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "3. SFT - Finally, once the AI fully comprehended human interactions, we trained it on an SFT dataset to broaden its knowledge base.", "raw": "3. SFT - Finally, once the AI fully comprehended human interactions, we trained it on an SFT dataset to broaden its knowledge base.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "## Evaluation", "raw": "## Evaluation", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "![By/KingNish/Banchmark/png](", "raw": "![By/KingNish/Banchmark/png](", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://cdn-uploads.huggingface.co/production/uploads/6612aedf09f16e7347dfa7e1/xvS57q5kU9f3AX-O-al0k.png", "resource": null, "url": null, "href": "https://cdn-uploads.huggingface.co/production/uploads/6612aedf09f16e7347dfa7e1/xvS57q5kU9f3AX-O-al0k.png", "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": ")", "raw": ")", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "## Conclusion:", "raw": "## Conclusion:", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "HelpingAI is a large step toward understanding human emoions and give response like them. It can help us lot in making AI better for NLP.", "raw": "HelpingAI is a large step toward understanding human emoions and give response like them. It can help us lot in making AI better for NLP.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Thanks!", "raw": "Thanks!", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Model Link: - ", "raw": "Model Link: - ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/OEvortex/HelpingAI-9B", "resource": { "type": "model", "id": "OEvortex/HelpingAI-9B", "discussionNum": null }, "url": "https://huggingface.co/OEvortex/HelpingAI-9B", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Demo link: - ", "raw": "Demo link: - ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/spaces/Abhaykoul/HelpingAI-9B", "resource": null, "url": null, "href": "https://huggingface.co/spaces/Abhaykoul/HelpingAI-9B", "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "Successfully defended my thesis yesterday 🚀", "raw": "Successfully defended my thesis yesterday 🚀", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Glad that my supervisor gets the innovation behind it - “An Adaptive Virtual Intelligent Tutor that autonomously learns and adjusts to your learning preferences”", "raw": "Glad that my supervisor gets the innovation behind it - “An Adaptive Virtual Intelligent Tutor that autonomously learns and adjusts to your learning preferences”", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "The Intuitive Approach: fine-tune a high performant pre-trained large language model on a rich task-specific dataset (in my case code instruction dataset with adaptive instructions on how to teach coding/solve coding problems with adherence to the student’s learning style) ", "raw": "The Intuitive Approach: fine-tune a high performant pre-trained large language model on a rich task-specific dataset (in my case code instruction dataset with adaptive instructions on how to teach coding/solve coding problems with adherence to the student’s learning style) ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Then apply Retrieval-Augmented Generation (RAG) during inference to update the knowledge base of the model in real-time with adaptive features learned from conversations with the model over time.", "raw": "Then apply Retrieval-Augmented Generation (RAG) during inference to update the knowledge base of the model in real-time with adaptive features learned from conversations with the model over time.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "The app supports both real-time voice chat with an intelligent 3D Avatar (made with Soulmachine's Digital DNA studio) powered by the fine-tuned model and text chat with the locally hosted fine-tuned model.", "raw": "The app supports both real-time voice chat with an intelligent 3D Avatar (made with Soulmachine's Digital DNA studio) powered by the fine-tuned model and text chat with the locally hosted fine-tuned model.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "With enough interactions you get an objective driven, task-specific and adaptive personalized tutor that completely gets you (knows your learning pace, your learning style and preferences).", "raw": "With enough interactions you get an objective driven, task-specific and adaptive personalized tutor that completely gets you (knows your learning pace, your learning style and preferences).", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "This is what I feel is missing in today’s AI systems - Autonomously Adaptive Assistants (AAA) - and oh I’m currently writing a paper on this:)", "raw": "This is what I feel is missing in today’s AI systems - Autonomously Adaptive Assistants (AAA) - and oh I’m currently writing a paper on this:)", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "I'm working on talking head generation that takes audio and video as input, can someone suggest me a good existing architecture that can generate videos with less latency or can we make it in real time? ", "raw": "I'm working on talking head generation that takes audio and video as input, can someone suggest me a good existing architecture that can generate videos with less latency or can we make it in real time? ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "💪Build an information retrieval Agent that can beat Gemini and OpenAI using open-source Large Action Model framework! ", "raw": "💪Build an information retrieval Agent that can beat Gemini and OpenAI using open-source Large Action Model framework! ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "In this video, we ask to different proprietary Conversational AI the question:", "raw": "In this video, we ask to different proprietary Conversational AI the question:", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": " “What is the most trendy recent paper on Llava models on Hugging Face papers? Provide the date and a summary of the paper”, and the results are interesting!", "raw": " “What is the most trendy recent paper on Llava models on Hugging Face papers? Provide the date and a summary of the paper”, and the results are interesting!", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "❌Gemini: found a paper from Jan 29, 2024", "raw": "❌Gemini: found a paper from Jan 29, 2024", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "❌OpenAI: found a paper from October 2023", "raw": "❌OpenAI: found a paper from October 2023", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "❌You.com: found a paper from Jan 29 2024", "raw": "❌You.com: found a paper from Jan 29 2024", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "✅LaVague: found the latest paper (ConvLlaVA which is dope by the way ", "raw": "✅LaVague: found the latest paper (ConvLlaVA which is dope by the way ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://arxiv.org/abs/2405.15738", "resource": null, "url": null, "href": "https://arxiv.org/abs/2405.15738", "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": ")! ", "raw": ")! ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "The best? Our solution fits a few ines of code with our open-source framework! I will share how we built that agent during our webinar on AI Web Agents, this Thursday 30th May at 9 am PST (", "raw": "The best? Our solution fits a few ines of code with our open-source framework! I will share how we built that agent during our webinar on AI Web Agents, this Thursday 30th May at 9 am PST (", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://lu.ma/m8fzmb3q", "resource": null, "url": null, "href": "https://lu.ma/m8fzmb3q", "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": ") so don’t miss it 😉", "raw": ") so don’t miss it 😉", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "You can also start playing with our framework: ", "raw": "You can also start playing with our framework: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://github.com/lavague-ai/LaVague", "resource": null, "url": null, "href": "https://github.com/lavague-ai/LaVague", "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "Cohere for AI, Argilla, and Hugging Face are collaborating on an Open Science Project to enhance multilingual model evaluations. The project focuses on the widely-used MMLU dataset, which spans 57 subjects like mathematics, computer science, and law. However, existing translations often miss linguistic and cultural nuances, thus embedding biases. 🤔", "raw": "Cohere for AI, Argilla, and Hugging Face are collaborating on an Open Science Project to enhance multilingual model evaluations. The project focuses on the widely-used MMLU dataset, which spans 57 subjects like mathematics, computer science, and law. However, existing translations often miss linguistic and cultural nuances, thus embedding biases. 🤔", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "To address this, they have annotated a subset of the MMLU test set and are inviting global perspectives to review prompts, highlighting cultural specifics and required knowledge. They have mentioned that insights will help shape future multilingual model evaluations, ensuring they are more inclusive and accurate. 🗺️ 📝 🙌 ", "raw": "To address this, they have annotated a subset of the MMLU test set and are inviting global perspectives to review prompts, highlighting cultural specifics and required knowledge. They have mentioned that insights will help shape future multilingual model evaluations, ensuring they are more inclusive and accurate. 🗺️ 📝 🙌 ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "▶️ To get started go to: ", "raw": "▶️ To get started go to: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/CohereForAI/MMLU-evaluation", "resource": { "type": "space", "id": "CohereForAI/MMLU-evaluation", "discussionNum": null }, "url": "https://huggingface.co/spaces/CohereForAI/MMLU-evaluation", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🌍 They also have an Aya Discord server for collaboration with other participants: ", "raw": "🌍 They also have an Aya Discord server for collaboration with other participants: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://discord.gg/9gVhdfnQMN", "resource": null, "url": null, "href": "https://discord.gg/9gVhdfnQMN", "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "𝗣𝗿𝗼𝘁𝗼𝘁𝘆𝗽𝗶𝗻𝗴 holds an important place in machine learning. But it has traditionally been quite difficult to go from prototype code to production-ready APIs", "raw": "𝗣𝗿𝗼𝘁𝗼𝘁𝘆𝗽𝗶𝗻𝗴 holds an important place in machine learning. But it has traditionally been quite difficult to go from prototype code to production-ready APIs", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "We're working on making that a lot easier with 𝗚𝗿𝗮𝗱𝗶𝗼 and will unveil something new on June 6th: ", "raw": "We're working on making that a lot easier with 𝗚𝗿𝗮𝗱𝗶𝗼 and will unveil something new on June 6th: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://www.youtube.com/watch?v=44vi31hehw4&ab_channel=HuggingFace", "resource": null, "url": null, "href": "https://www.youtube.com/watch?v=44vi31hehw4&ab_channel=HuggingFace", "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "everything-ai v2.0.1: more AI power on your Desktop", "raw": "everything-ai v2.0.1: more AI power on your Desktop", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "What is everything-ai?", "raw": "What is everything-ai?", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🤖 everything-ai is natively a multi-tasking agent, 100% local, that is able to perform several AI-related tasks", "raw": "🤖 everything-ai is natively a multi-tasking agent, 100% local, that is able to perform several AI-related tasks", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": " What's new?", "raw": " What's new?", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🚀 I am more than thrilled to introduce some new functionalities that were added since last release:", "raw": "🚀 I am more than thrilled to introduce some new functionalities that were added since last release:", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "- 🎙️🔊 Handle audio files or microphone recordings, classifying or transcribing them with almost every audio-classification and automatic-speech-recognition model on Hugging Face Hub.", "raw": "- 🎙️🔊 Handle audio files or microphone recordings, classifying or transcribing them with almost every audio-classification and automatic-speech-recognition model on Hugging Face Hub.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "- 📽️ Generate video from text prompts with almost every text-to-video model on HuggingFace Hub (original architecture by [Vasiliy Katsyka](", "raw": "- 📽️ Generate video from text prompts with almost every text-to-video model on HuggingFace Hub (original architecture by [Vasiliy Katsyka](", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://github.com/Vasiliy-katsyka)", "resource": null, "url": null, "href": "https://github.com/Vasiliy-katsyka)", "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": ")", "raw": ")", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "- 🧬 Predict the 3D structure of proteins from their amino-acidic sequence, with EsmFold by AI at Meta ([demo](", "raw": "- 🧬 Predict the 3D structure of proteins from their amino-acidic sequence, with EsmFold by AI at Meta ([demo](", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/as-cle-bert/proteinviz)", "resource": { "type": "space", "id": "as-cle-bert/proteinviz", "discussionNum": null }, "url": "https://huggingface.co/spaces/as-cle-bert/proteinviz)", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": ")", "raw": ")", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "- 🏋️ Finetune HF models on several downstream tasks with AutoTrain local integration (AutoTrain is developed by [Abhishek Thakur](", "raw": "- 🏋️ Finetune HF models on several downstream tasks with AutoTrain local integration (AutoTrain is developed by [Abhishek Thakur](", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://github.com/abhishekkrthakur)", "resource": null, "url": null, "href": "https://github.com/abhishekkrthakur)", "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": ") ", "raw": ") ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "- 🗣️ Unleash powerful LLMs and exploit larger database collections for RAG with the integration of Hugging Face Spaces API and Supabase PostgreSQL databases ([demo](", "raw": "- 🗣️ Unleash powerful LLMs and exploit larger database collections for RAG with the integration of Hugging Face Spaces API and Supabase PostgreSQL databases ([demo](", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/spaces/as-cle-bert/supabase-ai-chat)", "resource": null, "url": null, "href": "https://huggingface.co/spaces/as-cle-bert/supabase-ai-chat)", "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": ")", "raw": ")", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "How can you use all of these features? ", "raw": "How can you use all of these features? ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "You just need a ", "raw": "You just need a ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "inline_code", "value": null, "raw": "`docker compose up`", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": "docker compose up", "label": null }, { "type": "text", "value": "!🐋", "raw": "!🐋", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Where can I find everything I need?", "raw": "Where can I find everything I need?", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Get the source code (and leave a little ⭐ while you're there):", "raw": "Get the source code (and leave a little ⭐ while you're there):", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://github.com/AstraBert/everything-ai", "resource": null, "url": null, "href": "https://github.com/AstraBert/everything-ai", "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Get a quick-start with the documentation:", "raw": "Get a quick-start with the documentation:", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://astrabert.github.io/everything-ai/", "resource": null, "url": null, "href": "https://astrabert.github.io/everything-ai/", "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Credits and inspiration", "raw": "Credits and inspiration", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Shout-outs to Hugging Face, Gradio, Docker, AI at Meta, Abhishek Thakur, Qdrant, LangChain and Supabase for making all of this possible!", "raw": "Shout-outs to Hugging Face, Gradio, Docker, AI at Meta, Abhishek Thakur, Qdrant, LangChain and Supabase for making all of this possible!", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Inspired by: Jan, Cheshire Cat AI, LM Studio, Ollama and other awesome local AI solutions!", "raw": "Inspired by: Jan, Cheshire Cat AI, LM Studio, Ollama and other awesome local AI solutions!", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "Just released ViLaH - a compact 3B parameter vision language model! which generates responses in Hindi only hindi for now 😔", "raw": "Just released ViLaH - a compact 3B parameter vision language model! which generates responses in Hindi only hindi for now 😔", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/BhashaAI/ViLaH", "resource": { "type": "model", "id": "BhashaAI/ViLaH", "discussionNum": null }, "url": "https://huggingface.co/BhashaAI/ViLaH", "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "Weekly highlights for the HF ecosystem!", "raw": "Weekly highlights for the HF ecosystem!", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🚀 Phi 3", "raw": "🚀 Phi 3", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🦅 Falcon VLM", "raw": "🦅 Falcon VLM", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🤗 sentence-transformers v3.0 is here! Train and finetune embedding models with multi-GPU training, bf16 support, loss logging, callbacks and more!", "raw": "🤗 sentence-transformers v3.0 is here! Train and finetune embedding models with multi-GPU training, bf16 support, loss logging, callbacks and more!", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🥳 Gradio launch event 6/6! We're launching 1.0 versions of two new libraries, Python + JS client libraries to programmatically query Gradio apps, and several new features making it easier to use Gradio apps in production!", "raw": "🥳 Gradio launch event 6/6! We're launching 1.0 versions of two new libraries, Python + JS client libraries to programmatically query Gradio apps, and several new features making it easier to use Gradio apps in production!", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "✨ Tools now available in HuggingChat! Use any AI apps built by the community! 🔥", "raw": "✨ Tools now available in HuggingChat! Use any AI apps built by the community! 🔥", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🧊 ML for 3D Course Unit 3 is here! Covering Gaussian splatting, how it fits in the generative 3D pipeline, and hands-on code to build your own demo!", "raw": "🧊 ML for 3D Course Unit 3 is here! Covering Gaussian splatting, how it fits in the generative 3D pipeline, and hands-on code to build your own demo!", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "See the full list here!", "raw": "See the full list here!", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://discord.com/channels/879548962464493619/897387888663232554/1245036889539612764", "resource": null, "url": null, "href": "https://discord.com/channels/879548962464493619/897387888663232554/1245036889539612764", "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": " !", "raw": " !", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "🧨 Diffusers 0.28.0 is out 🔥", "raw": "🧨 Diffusers 0.28.0 is out 🔥", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "It features the first non-generative pipeline of the library -- Marigold 🥁", "raw": "It features the first non-generative pipeline of the library -- Marigold 🥁", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Marigold shines at performing Depth Estimation and Surface Normal Estimation. It was contributed by ", "raw": "Marigold shines at performing Depth Estimation and Surface Normal Estimation. It was contributed by ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "mention", "value": null, "raw": "@toshas", "resource": null, "url": null, "href": null, "user": "toshas", "lang": null, "code": null, "label": null }, { "type": "text", "value": ", one of the authors of Marigold. ", "raw": ", one of the authors of Marigold. ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "This release also features a massive refactor (led by ", "raw": "This release also features a massive refactor (led by ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "mention", "value": null, "raw": "@DN6", "resource": null, "url": null, "href": null, "user": "DN6", "lang": null, "code": null, "label": null }, { "type": "text", "value": ") of the ", "raw": ") of the ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "inline_code", "value": null, "raw": "`from_single_file()`", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": "from_single_file()", "label": null }, { "type": "text", "value": " method, highlighting our efforts for making our library more amenable to community features 🤗", "raw": " method, highlighting our efforts for making our library more amenable to community features 🤗", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Check out the release notes here:", "raw": "Check out the release notes here:", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://github.com/huggingface/diffusers/releases/tag/v0.28.0", "resource": null, "url": null, "href": "https://github.com/huggingface/diffusers/releases/tag/v0.28.0", "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "cooking up something....anyone interested in a daily activity tracker for HF? ", "raw": "cooking up something....anyone interested in a daily activity tracker for HF? ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "How can AI help us write better headlines and reach more people?", "raw": "How can AI help us write better headlines and reach more people?", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "I experimented with a new approach that is both useful and fun. It can help you overcome writer’s block, find better headlines, and make your blog posts and news articles climb in search engine results. Plus, we will learn new concepts along the way!", "raw": "I experimented with a new approach that is both useful and fun. It can help you overcome writer’s block, find better headlines, and make your blog posts and news articles climb in search engine results. Plus, we will learn new concepts along the way!", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "1️⃣ First, I scraped all the blog posts written on Hugging Face to create a dataset with the headlines, texts, dates, and authors' names.", "raw": "1️⃣ First, I scraped all the blog posts written on Hugging Face to create a dataset with the headlines, texts, dates, and authors' names.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "2️⃣ I filtered the dataset to remove posts that were too long and would require a model with a longer context window. This was done to keep the project simple and cost-effective (actually, free).", "raw": "2️⃣ I filtered the dataset to remove posts that were too long and would require a model with a longer context window. This was done to keep the project simple and cost-effective (actually, free).", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "3️⃣ Then, I used a dataset generation workflow built by ", "raw": "3️⃣ Then, I used a dataset generation workflow built by ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "mention", "value": null, "raw": "@davanstrien", "resource": null, "url": null, "href": null, "user": "davanstrien", "lang": null, "code": null, "label": null }, { "type": "text", "value": " to generate a DPO dataset. ", "raw": " to generate a DPO dataset. ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "4️⃣ As a last step, you can collectively rate these evaluations to improve the quality of the dataset using an easy-to-use interface with Argilla. Take a look at it and rate some of them! This way, you can contribute to making this dataset useful for different newsrooms that could use it as a starting point.", "raw": "4️⃣ As a last step, you can collectively rate these evaluations to improve the quality of the dataset using an easy-to-use interface with Argilla. Take a look at it and rate some of them! This way, you can contribute to making this dataset useful for different newsrooms that could use it as a starting point.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "𝐖𝐡𝐲 𝐢𝐭 𝐦𝐚𝐭𝐭𝐞𝐫𝐬. This example is compelling because, if you look at the dataset, you can see some examples where the headlines are enhanced by the addition of an important keyword or an action verb.", "raw": "𝐖𝐡𝐲 𝐢𝐭 𝐦𝐚𝐭𝐭𝐞𝐫𝐬. This example is compelling because, if you look at the dataset, you can see some examples where the headlines are enhanced by the addition of an important keyword or an action verb.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "These tweaks can have a big impact on your position in search engines and, therefore, on your traffic. It’s also good leverage for our creativity since you can compare the initial idea with another one from an outside perspective.", "raw": "These tweaks can have a big impact on your position in search engines and, therefore, on your traffic. It’s also good leverage for our creativity since you can compare the initial idea with another one from an outside perspective.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Imagine if you’re a large news organization; you could run this experiment with thousands of news articles.", "raw": "Imagine if you’re a large news organization; you could run this experiment with thousands of news articles.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "With a dataset of several hundred to thousands of entries, you could fine-tune a model to suggest headlines better tailored to your needs and writing style.", "raw": "With a dataset of several hundred to thousands of entries, you could fine-tune a model to suggest headlines better tailored to your needs and writing style.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "👉 Take a look at it and rate the headlines ", "raw": "👉 Take a look at it and rate the headlines ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/fdaudens/journalism-argilla-space", "resource": { "type": "space", "id": "fdaudens/journalism-argilla-space", "discussionNum": null }, "url": "https://huggingface.co/spaces/fdaudens/journalism-argilla-space", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "👉 Daniel's code ", "raw": "👉 Daniel's code ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://github.com/huggingface/data-is-better-together/blob/main/dpo/README.md", "resource": null, "url": null, "href": "https://github.com/huggingface/data-is-better-together/blob/main/dpo/README.md", "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "Hello HF fans! Anyone is interested to become cofounder in my future company. I'm working on AI products, edge AI, marketing and social Media. Please feel free to contact me.", "raw": "Hello HF fans! Anyone is interested to become cofounder in my future company. I'm working on AI products, edge AI, marketing and social Media. Please feel free to contact me.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "‼️Sentence Transformers v3.0 is out! You can now train and finetune embedding models with multi-GPU training, bf16 support, loss logging, callbacks & much more. I also release 50+ datasets to train on. ", "raw": "‼️Sentence Transformers v3.0 is out! You can now train and finetune embedding models with multi-GPU training, bf16 support, loss logging, callbacks & much more. I also release 50+ datasets to train on. ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "1️⃣ Training Refactor", "raw": "1️⃣ Training Refactor", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Embedding models can now be trained using an extensive trainer with a lot of powerful features:", "raw": "Embedding models can now be trained using an extensive trainer with a lot of powerful features:", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "- MultiGPU Training (Data Parallelism (DP) and Distributed Data Parallelism (DDP))", "raw": "- MultiGPU Training (Data Parallelism (DP) and Distributed Data Parallelism (DDP))", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "- bf16 training support; loss logging", "raw": "- bf16 training support; loss logging", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "- Evaluation datasets + evaluation loss", "raw": "- Evaluation datasets + evaluation loss", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "- Improved callback support + an excellent Weights & Biases integration", "raw": "- Improved callback support + an excellent Weights & Biases integration", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "- Gradient checkpointing, gradient accumulation", "raw": "- Gradient checkpointing, gradient accumulation", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "- Improved model card generation", "raw": "- Improved model card generation", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "- Resuming from a training checkpoint without performance loss", "raw": "- Resuming from a training checkpoint without performance loss", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "- Hyperparameter Optimization", "raw": "- Hyperparameter Optimization", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "and much more!", "raw": "and much more!", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Read my detailed blogpost to learn about the components that make up this new training approach: ", "raw": "Read my detailed blogpost to learn about the components that make up this new training approach: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/blog/train-sentence-transformers", "resource": null, "url": null, "href": "https://huggingface.co/blog/train-sentence-transformers", "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "2️⃣ Similarity Score", "raw": "2️⃣ Similarity Score", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Not sure how to compare embeddings? Don't worry, you can now use ", "raw": "Not sure how to compare embeddings? Don't worry, you can now use ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "inline_code", "value": null, "raw": "`model.similarity(embeddings1, embeddings2)`", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": "model.similarity(embeddings1, embeddings2)", "label": null }, { "type": "text", "value": " and you'll get your similarity scores immediately. Model authors can specify their desired similarity score, so you don't have to worry about it anymore!", "raw": " and you'll get your similarity scores immediately. Model authors can specify their desired similarity score, so you don't have to worry about it anymore!", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "3️⃣ Additional Kwargs", "raw": "3️⃣ Additional Kwargs", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Sentence Transformers relies on various Transformers instances (AutoModel, AutoTokenizer, AutoConfig), but it was hard to provide valuable keyword arguments to these (like 'torch_dtype=torch.bfloat16' to load a model a lower precision for 2x inference speedup). This is now easy!", "raw": "Sentence Transformers relies on various Transformers instances (AutoModel, AutoTokenizer, AutoConfig), but it was hard to provide valuable keyword arguments to these (like 'torch_dtype=torch.bfloat16' to load a model a lower precision for 2x inference speedup). This is now easy!", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "4️⃣ Hyperparameter Optimization", "raw": "4️⃣ Hyperparameter Optimization", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Sentence Transformers now ships with HPO, allowing you to effectively choose your hyperparameters for your data and task.", "raw": "Sentence Transformers now ships with HPO, allowing you to effectively choose your hyperparameters for your data and task.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "5️⃣ Dataset Release", "raw": "5️⃣ Dataset Release", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "To help you out with finetuning models, I've released 50+ ready-to-go datasets that can be used with training or finetuning embedding models: ", "raw": "To help you out with finetuning models, I've released 50+ ready-to-go datasets that can be used with training or finetuning embedding models: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/collections/sentence-transformers/embedding-model-datasets-6644d7a3673a511914aa7552", "resource": { "type": "collection", "id": "sentence-transformers/embedding-model-datasets-6644d7a3673a511914aa7552", "discussionNum": null }, "url": "https://huggingface.co/collections/sentence-transformers/embedding-model-datasets-6644d7a3673a511914aa7552", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Full release notes: ", "raw": "Full release notes: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://github.com/UKPLab/sentence-transformers/releases/tag/v3.0.0", "resource": null, "url": null, "href": "https://github.com/UKPLab/sentence-transformers/releases/tag/v3.0.0", "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "✨ Tools are now available in HuggingChat (", "raw": "✨ Tools are now available in HuggingChat (", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://hf.co/chat", "resource": null, "url": null, "href": "https://hf.co/chat", "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": ")", "raw": ")", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "In short, Tools allow HuggingChat to plug any ZeroGPU Space as a tool HuggingChat can use, offering limitless possibilities.", "raw": "In short, Tools allow HuggingChat to plug any ZeroGPU Space as a tool HuggingChat can use, offering limitless possibilities.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "For the release we plugged 6 tools that you can use right now on command-R+, we plan to expand to more models.", "raw": "For the release we plugged 6 tools that you can use right now on command-R+, we plan to expand to more models.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "We'll also allow you to add your own tools (any ZeroGPU space is compatible). For more info check out this discussion: ", "raw": "We'll also allow you to add your own tools (any ZeroGPU space is compatible). For more info check out this discussion: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/huggingchat/chat-ui/discussions/470", "resource": { "type": "space", "id": "huggingchat/chat-ui", "discussionNum": 470 }, "url": "https://huggingface.co/spaces/huggingchat/chat-ui/discussions/470", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Kudos to ", "raw": "Kudos to ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "mention", "value": null, "raw": "@nsarrazin", "resource": null, "url": null, "href": null, "user": "nsarrazin", "lang": null, "code": null, "label": null }, { "type": "text", "value": " ", "raw": " ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "mention", "value": null, "raw": "@Saghen", "resource": null, "url": null, "href": null, "user": "Saghen", "lang": null, "code": null, "label": null }, { "type": "text", "value": " and ", "raw": " and ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "mention", "value": null, "raw": "@mishig", "resource": null, "url": null, "href": null, "user": "mishig", "lang": null, "code": null, "label": null }, { "type": "text", "value": " for the release <3", "raw": " for the release <3", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "The Hugging Face Computer Vision community will have the first in a series of online hangouts/study groups this Saturday June 1st at 10:00 am EDT.🚀", "raw": "The Hugging Face Computer Vision community will have the first in a series of online hangouts/study groups this Saturday June 1st at 10:00 am EDT.🚀", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Join us on the Hugging Face Discord channel for the Hangout! ", "raw": "Join us on the Hugging Face Discord channel for the Hangout! ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://discord.gg/hugging-face-879548962464493619?event=1243129304863215656", "resource": null, "url": null, "href": "https://discord.gg/hugging-face-879548962464493619?event=1243129304863215656", "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": " 🤗", "raw": " 🤗", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "I propose \"merge densification\", a style of merger which attempts to transfer the benefits of a denser model to a base model. The model weight in this case is 0.02, which is atypically small for mergers, but high compared to the learning rate used during training. In this case, the expectation is more creative text-generation. More details below:", "raw": "I propose \"merge densification\", a style of merger which attempts to transfer the benefits of a denser model to a base model. The model weight in this case is 0.02, which is atypically small for mergers, but high compared to the learning rate used during training. In this case, the expectation is more creative text-generation. More details below:", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/grimjim/kunoichi-lemon-royale-v3-32K-7B", "resource": { "type": "model", "id": "grimjim/kunoichi-lemon-royale-v3-32K-7B", "discussionNum": null }, "url": "https://huggingface.co/grimjim/kunoichi-lemon-royale-v3-32K-7B", "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "Remember stacking in ensemble ML? 🤔", "raw": "Remember stacking in ensemble ML? 🤔", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "What happens if you do the reverse of that but with LLMs? 🤯", "raw": "What happens if you do the reverse of that but with LLMs? 🤯", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Basically, MoE created by merging multiple models (instead of being pre-trained like Mixtral)? 🧠", "raw": "Basically, MoE created by merging multiple models (instead of being pre-trained like Mixtral)? 🧠", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Frankenstein MoE! (not an official name) 🧟‍♂️", "raw": "Frankenstein MoE! (not an official name) 🧟‍♂️", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "That's the new Kraken architecture! 🐙", "raw": "That's the new Kraken architecture! 🐙", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "It uses a sequence classification model to route inputs to the most suitable language model based on the input's characteristics. 🚦", "raw": "It uses a sequence classification model to route inputs to the most suitable language model based on the input's characteristics. 🚦", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Yup, multiple full-fledged LLMs are loaded into memory, and then a classification layer decides who gets to generate an output! 🎰", "raw": "Yup, multiple full-fledged LLMs are loaded into memory, and then a classification layer decides who gets to generate an output! 🎰", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Tell me you have too many GPUs without telling me you have too many GPUs! 🖥️🔥", "raw": "Tell me you have too many GPUs without telling me you have too many GPUs! 🖥️🔥", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Jokes aside, extremely fascinating research but I don't understand why this can't just be a big model with multiple LORA adapters, that can be decided on the fly? 🤷‍♂️", "raw": "Jokes aside, extremely fascinating research but I don't understand why this can't just be a big model with multiple LORA adapters, that can be decided on the fly? 🤷‍♂️", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Model: ", "raw": "Model: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/cognitivecomputations/Kraken", "resource": { "type": "model", "id": "cognitivecomputations/Kraken", "discussionNum": null }, "url": "https://huggingface.co/cognitivecomputations/Kraken", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Github: ", "raw": "Github: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://github.com/cognitivecomputations/kraken", "resource": null, "url": null, "href": "https://github.com/cognitivecomputations/kraken", "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "If you're part of the Journalists on Hugging Face community, did you know you can receive notifications on ongoing discussions? ", "raw": "If you're part of the Journalists on Hugging Face community, did you know you can receive notifications on ongoing discussions? ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "- \"Repo discussions\" for repo discussions you're participating in or mentioned in", "raw": "- \"Repo discussions\" for repo discussions you're participating in or mentioned in", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "- \"New activity on watched orgs/users\" for repo discussions & posts from users & orgs", "raw": "- \"New activity on watched orgs/users\" for repo discussions & posts from users & orgs", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "you're watching", "raw": "you're watching", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Activate them here: ", "raw": "Activate them here: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/settings/notifications", "resource": null, "url": null, "href": "https://huggingface.co/settings/notifications", "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Join the community: If you’re part of the Journalists on Hugging Face community, did you know you can receive notifications about ongoing discussions?", "raw": "Join the community: If you’re part of the Journalists on Hugging Face community, did you know you can receive notifications about ongoing discussions?", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "I've just open sourced RAGoon, a small utility I use to integrate knowledge from the web into LLM inference based on Groq speed and pure Google search performance ⚡", "raw": "I've just open sourced RAGoon, a small utility I use to integrate knowledge from the web into LLM inference based on Groq speed and pure Google search performance ⚡", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "RAGoon is a Python library available on PyPI that aims to improve the performance of language models by providing contextually relevant information through retrieval-based querying, parallel web scraping, and data augmentation techniques. It offers an integration of various APIs (OpenAI, Groq), enabling users to retrieve information from the web, enrich it with domain-specific knowledge, and feed it to language models for more informed responses.", "raw": "RAGoon is a Python library available on PyPI that aims to improve the performance of language models by providing contextually relevant information through retrieval-based querying, parallel web scraping, and data augmentation techniques. It offers an integration of various APIs (OpenAI, Groq), enabling users to retrieve information from the web, enrich it with domain-specific knowledge, and feed it to language models for more informed responses.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "code_fence", "value": null, "raw": "```python\nfrom groq import Groq\n# from openai import OpenAI\nfrom ragoon import RAGoon\n\n# Initialize RAGoon instance\nragoon = RAGoon(\n google_api_key=\"your_google_api_key\",\n google_cx=\"your_google_cx\",\n completion_client=Groq(api_key=\"your_groq_api_key\")\n)\n\n# Search and get results\nquery = \"I want to do a left join in python polars\"\nresults = ragoon.search(\n query=query,\n completion_model=\"Llama3-70b-8192\",\n)\n\n# Print list of results\nprint(results)\n```", "resource": null, "url": null, "href": null, "user": null, "lang": "python", "code": "from groq import Groq\n# from openai import OpenAI\nfrom ragoon import RAGoon\n\n# Initialize RAGoon instance\nragoon = RAGoon(\n google_api_key=\"your_google_api_key\",\n google_cx=\"your_google_cx\",\n completion_client=Groq(api_key=\"your_groq_api_key\")\n)\n\n# Search and get results\nquery = \"I want to do a left join in python polars\"\nresults = ragoon.search(\n query=query,\n completion_model=\"Llama3-70b-8192\",\n)\n\n# Print list of results\nprint(results)", "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "For the time being, this project remains simple, but can easily be integrated into a RAG pipeline.", "raw": "For the time being, this project remains simple, but can easily be integrated into a RAG pipeline.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Link to GitHub : ", "raw": "Link to GitHub : ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://github.com/louisbrulenaudet/ragoon", "resource": null, "url": null, "href": "https://github.com/louisbrulenaudet/ragoon", "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "🚀🎭🌟 New Research Alert - InstructAvatar (Avatars Collection)! 🌟🎭🚀", "raw": "🚀🎭🌟 New Research Alert - InstructAvatar (Avatars Collection)! 🌟🎭🚀", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "📄 Title: InstructAvatar: Text-Guided Emotion and Motion Control for Avatar Generation 🔝", "raw": "📄 Title: InstructAvatar: Text-Guided Emotion and Motion Control for Avatar Generation 🔝", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "📝 Description: InstructAvatar is a novel method for generating emotionally expressive 2D avatars using text-guided instructions, offering improved emotion control, lip-sync quality, and naturalness. It uses a two-branch diffusion-based generator to predict avatars based on both audio and text input.", "raw": "📝 Description: InstructAvatar is a novel method for generating emotionally expressive 2D avatars using text-guided instructions, offering improved emotion control, lip-sync quality, and naturalness. It uses a two-branch diffusion-based generator to predict avatars based on both audio and text input.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "👥 Authors: Yuchi Wang et al.", "raw": "👥 Authors: Yuchi Wang et al.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "📄 Paper: ", "raw": "📄 Paper: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/papers/2405.15758", "resource": { "type": "paper", "id": "2405.15758", "discussionNum": null }, "url": "https://huggingface.co/papers/2405.15758", "href": null, "user": null, "lang": null, "code": null, "label": "InstructAvatar: Text-Guided Emotion and Motion Control for Avatar\n Generation (2405.15758)" }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🌐 Github Page: ", "raw": "🌐 Github Page: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://wangyuchi369.github.io/InstructAvatar/", "resource": null, "url": null, "href": "https://wangyuchi369.github.io/InstructAvatar/", "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "📁 Repository: ", "raw": "📁 Repository: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://github.com/wangyuchi369/InstructAvatar", "resource": null, "url": null, "href": "https://github.com/wangyuchi369/InstructAvatar", "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, 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"mention", "value": null, "raw": "@DmitryRyumin", "resource": null, "url": null, "href": null, "user": "DmitryRyumin", "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🚀 Added to the Avatars Collection: ", "raw": "🚀 Added to the Avatars Collection: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/collections/DmitryRyumin/avatars-65df37cdf81fec13d4dbac36", "resource": { "type": "collection", "id": "DmitryRyumin/avatars-65df37cdf81fec13d4dbac36", "discussionNum": null }, "url": 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[ { "type": "text", "value": "𝙒𝙧𝙞𝙩𝙞𝙣𝙜 𝙩𝙤𝙤𝙡 𝙘𝙖𝙡𝙡𝙨 𝙞𝙣 𝙘𝙤𝙙𝙚 𝙟𝙪𝙨𝙩 𝙬𝙤𝙧𝙠𝙨 𝙗𝙚𝙩𝙩𝙚𝙧 𝙩𝙝𝙖𝙣 𝙅𝙎𝙊𝙉 💪", "raw": "𝙒𝙧𝙞𝙩𝙞𝙣𝙜 𝙩𝙤𝙤𝙡 𝙘𝙖𝙡𝙡𝙨 𝙞𝙣 𝙘𝙤𝙙𝙚 𝙟𝙪𝙨𝙩 𝙬𝙤𝙧𝙠𝙨 𝙗𝙚𝙩𝙩𝙚𝙧 𝙩𝙝𝙖𝙣 𝙅𝙎𝙊𝙉 💪", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "I was really happy to learn today by ", "raw": "I was really happy to learn today by ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "mention", "value": null, "raw": "@sergeipetrov", "resource": null, "url": null, "href": null, "user": "sergeipetrov", "lang": null, "code": null, "label": null }, { "type": "text", "value": " that paper 𝘌𝘹𝘦𝘤𝘶𝘵𝘢𝘣𝘭𝘦 𝘊𝘰𝘥𝘦 𝘈𝘤𝘵𝘪𝘰𝘯𝘴 𝘌𝘭𝘪𝘤𝘪𝘵 𝘉𝘦𝘵𝘵𝘦𝘳 𝘓𝘓𝘔 𝘈𝘨𝘦𝘯𝘵𝘴 was accepted at ICLR 2024! ", "raw": " that paper 𝘌𝘹𝘦𝘤𝘶𝘵𝘢𝘣𝘭𝘦 𝘊𝘰𝘥𝘦 𝘈𝘤𝘵𝘪𝘰𝘯𝘴 𝘌𝘭𝘪𝘤𝘪𝘵 𝘉𝘦𝘵𝘵𝘦𝘳 𝘓𝘓𝘔 𝘈𝘨𝘦𝘯𝘵𝘴 was accepted at ICLR 2024! ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "As a reminder, an agent is a system in which you embed a LLM engine, to let it call tools.", "raw": "As a reminder, an agent is a system in which you embed a LLM engine, to let it call tools.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "These tools are meant like an IronMan suit, to supplement the LLM in areas that it isn't good at.", "raw": "These tools are meant like an IronMan suit, to supplement the LLM in areas that it isn't good at.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🧑‍💻 For instance your friendly LLM may be terrible at calculating powers of floating numbers (\"What is X ^0.2947 ?\"), so it should use a calculator.", "raw": "🧑‍💻 For instance your friendly LLM may be terrible at calculating powers of floating numbers (\"What is X ^0.2947 ?\"), so it should use a calculator.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🔎It may be terrible at knowing precise facts (\"What was the date of the Golden Bull?\") so it should use a web browser.", "raw": "🔎It may be terrible at knowing precise facts (\"What was the date of the Golden Bull?\") so it should use a web browser.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "So the agent system will prompt an agent with \"Now you can use these tools: calculator, search,...\"", "raw": "So the agent system will prompt an agent with \"Now you can use these tools: calculator, search,...\"", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "But 𝙝𝙤𝙬 𝙨𝙝𝙤𝙪𝙡𝙙 𝙩𝙝𝙚 𝙖𝙜𝙚𝙣𝙩 𝙚𝙭𝙥𝙧𝙚𝙨𝙨 𝙞𝙩𝙨 𝙖𝙘𝙩𝙞𝙤𝙣𝙨?", "raw": "But 𝙝𝙤𝙬 𝙨𝙝𝙤𝙪𝙡𝙙 𝙩𝙝𝙚 𝙖𝙜𝙚𝙣𝙩 𝙚𝙭𝙥𝙧𝙚𝙨𝙨 𝙞𝙩𝙨 𝙖𝙘𝙩𝙞𝙤𝙣𝙨?", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "All well known frameworks let agents write their actions as JSON strings.", "raw": "All well known frameworks let agents write their actions as JSON strings.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "We 𝗽𝗿𝗲𝗳𝗲𝗿𝗿𝗲𝗱 𝘁𝗼 𝗴𝗼 𝘄𝗶𝘁𝗵 𝗳𝗼𝗿𝗺𝘂𝗹𝗮𝘁𝗶𝗻𝗴 𝗮𝗰𝘁𝗶𝗼𝗻𝘀 𝗶𝗻 𝗖𝗼𝗱𝗲, 𝘄𝗵𝗶𝗰𝗵 𝗶𝘀 𝗺𝘂𝗰𝗵 𝗺𝗼𝗿𝗲 𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗹𝗲 𝗮𝗻𝗱 𝗰𝗼𝗻𝗰𝗶𝘀𝗲, 𝗮𝗻𝗱 𝗮𝗹𝗹𝗼𝘄𝘀 𝘁𝗼 𝗰𝗵𝗮𝗶𝗻 𝗮𝗰𝘁𝗶𝗼𝗻𝘀 𝘀𝗲𝗮𝗺𝗹𝗲𝘀𝘀𝗹𝘆: see the picture attached for an example where Code formulation really shines.", "raw": "We 𝗽𝗿𝗲𝗳𝗲𝗿𝗿𝗲𝗱 𝘁𝗼 𝗴𝗼 𝘄𝗶𝘁𝗵 𝗳𝗼𝗿𝗺𝘂𝗹𝗮𝘁𝗶𝗻𝗴 𝗮𝗰𝘁𝗶𝗼𝗻𝘀 𝗶𝗻 𝗖𝗼𝗱𝗲, 𝘄𝗵𝗶𝗰𝗵 𝗶𝘀 𝗺𝘂𝗰𝗵 𝗺𝗼𝗿𝗲 𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗹𝗲 𝗮𝗻𝗱 𝗰𝗼𝗻𝗰𝗶𝘀𝗲, 𝗮𝗻𝗱 𝗮𝗹𝗹𝗼𝘄𝘀 𝘁𝗼 𝗰𝗵𝗮𝗶𝗻 𝗮𝗰𝘁𝗶𝗼𝗻𝘀 𝘀𝗲𝗮𝗺𝗹𝗲𝘀𝘀𝗹𝘆: see the picture attached for an example where Code formulation really shines.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "And the paper confirms our choice: researchers show that 𝗰𝗼𝗺𝗽𝗮𝗿𝗲𝗱 𝘁𝗼 𝗝𝗦𝗢𝗡 𝗼𝗿 𝗽𝗹𝗮𝗶𝗻 𝘁𝗲𝘅𝘁, 𝗖𝗼𝗱𝗲 𝗶𝘀 𝗯𝗲𝘁𝘁𝗲𝗿 𝗯𝗼𝘁𝗵 𝗶𝗻 𝗰𝗼𝗻𝗰𝗶𝘀𝗲𝗻𝗲𝘀𝘀 𝗮𝗻𝗱 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲:", "raw": "And the paper confirms our choice: researchers show that 𝗰𝗼𝗺𝗽𝗮𝗿𝗲𝗱 𝘁𝗼 𝗝𝗦𝗢𝗡 𝗼𝗿 𝗽𝗹𝗮𝗶𝗻 𝘁𝗲𝘅𝘁, 𝗖𝗼𝗱𝗲 𝗶𝘀 𝗯𝗲𝘁𝘁𝗲𝗿 𝗯𝗼𝘁𝗵 𝗶𝗻 𝗰𝗼𝗻𝗰𝗶𝘀𝗲𝗻𝗲𝘀𝘀 𝗮𝗻𝗱 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲:", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "➤ Up to 30% fewer steps for the same actions (much more concise)", "raw": "➤ Up to 30% fewer steps for the same actions (much more concise)", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "➤ Up to 20% higher performance on benchmarks", "raw": "➤ Up to 20% higher performance on benchmarks", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "And we find additional benefits, for instance a natural handling of variables.", "raw": "And we find additional benefits, for instance a natural handling of variables.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Read the paper here 📖 ", "raw": "Read the paper here 📖 ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/papers/2402.01030", "resource": { "type": "paper", "id": "2402.01030", "discussionNum": null }, "url": "https://huggingface.co/papers/2402.01030", "href": null, "user": null, "lang": null, "code": null, "label": "Executable Code Actions Elicit Better LLM Agents (2402.01030)" }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Get your ReactCodeAgent running with our Agents framework! 👉 ", "raw": "Get your ReactCodeAgent running with our Agents framework! 👉 ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/learn/cookbook/agents", "resource": null, "url": null, "href": "https://huggingface.co/learn/cookbook/agents", "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "We will be providing ZeroGPU grants (for Spaces inference) to those who want to fine-tune PaliGemma and build a Space 🔥", "raw": "We will be providing ZeroGPU grants (for Spaces inference) to those who want to fine-tune PaliGemma and build a Space 🔥", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "You can pick any dataset of your choice!", "raw": "You can pick any dataset of your choice!", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Example code: ", "raw": "Example code: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://colab.research.google.com/drive/1x_OEphRK0H97DqqxEyiMewqsTiLD_Xmi?usp=sharing", "resource": null, "url": null, "href": "https://colab.research.google.com/drive/1x_OEphRK0H97DqqxEyiMewqsTiLD_Xmi?usp=sharing", "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": " (you can use a lower GPU with QLoRA)", "raw": " (you can use a lower GPU with QLoRA)", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Datasets: ", "raw": "Datasets: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/datasets?task_categories=task_categories:text-to-image&sort=trending", "resource": null, "url": null, "href": "https://huggingface.co/datasets?task_categories=task_categories:text-to-image&sort=trending", "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/datasets?task_categories=task_categories:image-to-text&sort=trending", "resource": null, "url": null, "href": "https://huggingface.co/datasets?task_categories=task_categories:image-to-text&sort=trending", "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "🇫🇷 ", "raw": "🇫🇷 ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Quel impact de l’IA sur les filières du cinéma, de l’audiovisuel et du jeu vidéo? ", "raw": "Quel impact de l’IA sur les filières du cinéma, de l’audiovisuel et du jeu vidéo? ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Etude prospective à destination des professionnels ", "raw": "Etude prospective à destination des professionnels ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "— CNC & BearingPoint | 09/04/2024", "raw": "— CNC & BearingPoint | 09/04/2024", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Si l’Intelligence Artificielle (IA) est utilisée de longue date dans les secteurs du cinéma, de l’audiovisuel et du jeu vidéo, les nouvelles applications de l’IA générative bousculent notre vision de ce dont est capable une machine et possèdent un potentiel de transformation inédit. Elles impressionnent par la qualité de leurs productions et suscitent par conséquent de nombreux débats, entre attentes et appréhensions.", "raw": "Si l’Intelligence Artificielle (IA) est utilisée de longue date dans les secteurs du cinéma, de l’audiovisuel et du jeu vidéo, les nouvelles applications de l’IA générative bousculent notre vision de ce dont est capable une machine et possèdent un potentiel de transformation inédit. Elles impressionnent par la qualité de leurs productions et suscitent par conséquent de nombreux débats, entre attentes et appréhensions.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Le CNC a donc décider de lancer un nouvel Observatoire de l’IA Afin de mieux comprendre les usages de l’IA et ses impacts réels sur la filière de l’image. Dans le cadre de cet Observatoire, le CNC a souhaité dresser un premier état des lieux à travers la cartographie des usages actuels ou potentiels de l’IA à chaque étape du processus de création et de diffusion d’une œuvre, en identifiant les opportunités et risques associés, notamment en termes de métiers et d’emploi. Cette étude CNC / Bearing Point en a présenté les principaux enseignements le 6 mars, lors de la journée CNC « Créer, produire, diffuser à l’heure de l’intelligence artificielle ».", "raw": "Le CNC a donc décider de lancer un nouvel Observatoire de l’IA Afin de mieux comprendre les usages de l’IA et ses impacts réels sur la filière de l’image. Dans le cadre de cet Observatoire, le CNC a souhaité dresser un premier état des lieux à travers la cartographie des usages actuels ou potentiels de l’IA à chaque étape du processus de création et de diffusion d’une œuvre, en identifiant les opportunités et risques associés, notamment en termes de métiers et d’emploi. Cette étude CNC / Bearing Point en a présenté les principaux enseignements le 6 mars, lors de la journée CNC « Créer, produire, diffuser à l’heure de l’intelligence artificielle ».", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Le CNC publie la version augmentée de la cartographie des usages de l’IA dans les filières du cinéma, de l’audiovisuel et du jeu vidéo.", "raw": "Le CNC publie la version augmentée de la cartographie des usages de l’IA dans les filières du cinéma, de l’audiovisuel et du jeu vidéo.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Lien vers la cartographie complète: ", "raw": "Lien vers la cartographie complète: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://www.cnc.fr/documents/36995/2097582/Cartographie+des+usages+IA_rapport+complet.pdf/96532829-747e-b85e-c74b-af313072cab7?t=1712309387891", "resource": null, "url": null, "href": "https://www.cnc.fr/documents/36995/2097582/Cartographie+des+usages+IA_rapport+complet.pdf/96532829-747e-b85e-c74b-af313072cab7?t=1712309387891", "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "Just subscribed the PRO monthly, but still got rate limited when making the inference API call ", "raw": "Just subscribed the PRO monthly, but still got rate limited when making the inference API call ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "code_fence", "value": null, "raw": "```\n const api_url = \"https://api-inference.huggingface.co/models/meta-llama/Meta-Llama-3-8B\";\n const payload = JSON.stringify({\n \"query\": input,\n });\n\n const body = {\n \"headers\" : {\"Authorization\": `Bearer ${API_TOKEN}`},\n \"wait_for_model\": true,\n \"use_gpu\": false,\n \"method\" : \"POST\",\n \"contentType\" : \"application/json\",\n \"payload\" : payload\n };\n \n var xmlHttp = new XMLHttpRequest();\n xmlHttp.open(\"POST\", api_url, false);\n xmlHttp.send(body);\n return xmlHttp.responseText;\n```", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": " const api_url = \"https://api-inference.huggingface.co/models/meta-llama/Meta-Llama-3-8B\";\n const payload = JSON.stringify({\n \"query\": input,\n });\n\n const body = {\n \"headers\" : {\"Authorization\": `Bearer ${API_TOKEN}`},\n \"wait_for_model\": true,\n \"use_gpu\": false,\n \"method\" : \"POST\",\n \"contentType\" : \"application/json\",\n \"payload\" : payload\n };\n \n var xmlHttp = new XMLHttpRequest();\n xmlHttp.open(\"POST\", api_url, false);\n xmlHttp.send(body);\n return xmlHttp.responseText;", "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Need some help", "raw": "Need some help", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "The zip file contains installers for Windows, RunPod, Massed Compute and a free Kaggle account notebook", "raw": "The zip file contains installers for Windows, RunPod, Massed Compute and a free Kaggle account notebook", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "It generates a VENV and install everything inside it. Works with Python 3.10.x - I suggest 3.10.11", "raw": "It generates a VENV and install everything inside it. Works with Python 3.10.x - I suggest 3.10.11", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Also you need C++ tools and Git. You can follow this tutorial to install all : ", "raw": "Also you need C++ tools and Git. You can follow this tutorial to install all : ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://youtu.be/-NjNy7afOQ0", "resource": null, "url": null, "href": "https://youtu.be/-NjNy7afOQ0", "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Updated 27 May 2024 : ", "raw": "Updated 27 May 2024 : ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://www.patreon.com/posts/95759342", "resource": null, "url": null, "href": "https://www.patreon.com/posts/95759342", "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "21 January 2024 Update", "raw": "21 January 2024 Update", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "SDXL model upgraded to ip-adapter-faceid-plusv2_sd15", "raw": "SDXL model upgraded to ip-adapter-faceid-plusv2_sd15", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Kaggle Notebook upgraded to V3 and supports SDXL now", "raw": "Kaggle Notebook upgraded to V3 and supports SDXL now", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "First of all I want to thank you so much for this amazing model.", "raw": "First of all I want to thank you so much for this amazing model.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "I have spent over 1 week to code the Gradio and prepare the video. I hope you let this thread remain and even add to the Readme file.", "raw": "I have spent over 1 week to code the Gradio and prepare the video. I hope you let this thread remain and even add to the Readme file.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "After video has been published I even added face embedding caching mechanism. So now it will calculate face embedding vector only 1 time for each image, thus super speed up the image generation.", "raw": "After video has been published I even added face embedding caching mechanism. So now it will calculate face embedding vector only 1 time for each image, thus super speed up the image generation.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Instantly Transfer Face By Using IP-Adapter-FaceID: Full Tutorial & GUI For Windows, RunPod & Kaggle : ", "raw": "Instantly Transfer Face By Using IP-Adapter-FaceID: Full Tutorial & GUI For Windows, RunPod & Kaggle : ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://youtu.be/rjXsJ24kQQg", "resource": null, "url": null, "href": "https://youtu.be/rjXsJ24kQQg", "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "chapters are like below", "raw": "chapters are like below", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "0:00 Introduction to IP-Adapter-FaceID full tutorial", "raw": "0:00 Introduction to IP-Adapter-FaceID full tutorial", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "2:19 Requirements to use IP-Adapter-FaceID gradio Web APP", "raw": "2:19 Requirements to use IP-Adapter-FaceID gradio Web APP", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "2:45 Where the Hugging Face models are downloaded by default on Windows", "raw": "2:45 Where the Hugging Face models are downloaded by default on Windows", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "3:12 How to change folder path where the Hugging Face models are downloaded and cached", "raw": "3:12 How to change folder path where the Hugging Face models are downloaded and cached", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "3:39 How to install IP-Adapter-FaceID Gradio Web APP and use on Windows", "raw": "3:39 How to install IP-Adapter-FaceID Gradio Web APP and use on Windows", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "5:35 How to start the IP-Adapter-FaceID Web UI after the installation", "raw": "5:35 How to start the IP-Adapter-FaceID Web UI after the installation", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "5:46 How to use Stable Diffusion XL (SDXL) models with IP-Adapter-FaceID", "raw": "5:46 How to use Stable Diffusion XL (SDXL) models with IP-Adapter-FaceID", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "5:56 How to select your input face and start generating 0-shot face transferred new amazing images", "raw": "5:56 How to select your input face and start generating 0-shot face transferred new amazing images", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "6:06 What does each option on the Web UI do explanations", "raw": "6:06 What does each option on the Web UI do explanations", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, 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[ { "type": "text", "value": "Mistral 7B might be one of the most popular open-source LLMs out there, with a total of over 3.4 million downloads on ", "raw": "Mistral 7B might be one of the most popular open-source LLMs out there, with a total of over 3.4 million downloads on ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "mention", "value": null, "raw": "@huggingface", "resource": null, "url": null, "href": null, "user": "huggingface", "lang": null, "code": null, "label": null }, { "type": "text", "value": " Hub 🚀, and now we have the next version...", "raw": " Hub 🚀, and now we have the next version...", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "mention", "value": null, "raw": "@MistralAI", "resource": null, "url": null, "href": null, "user": "MistralAI", "lang": null, "code": null, "label": null }, { "type": "text", "value": " Mistral -7B-v0.3 (base) 📈 and Mistral-7B-Instruct-v0.3 🛠️", "raw": " Mistral -7B-v0.3 (base) 📈 and Mistral-7B-Instruct-v0.3 🛠️", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "- 7.3 billion parameters 🧠", "raw": "- 7.3 billion parameters 🧠", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "- Apache 2.0 license 📜", "raw": "- Apache 2.0 license 📜", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "- Extended vocabulary of 32,768 📖", "raw": "- Extended vocabulary of 32,768 📖", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "- Supports new v3 Tokenizer and function calling 🤖", "raw": "- Supports new v3 Tokenizer and function calling 🤖", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "- Also, it's completely uncensored 🆓", "raw": "- Also, it's completely uncensored 🆓", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "In conclusion, Mistral-7B-v0.3 is an uncensored Mistral-7B-v0.2 with an extended vocabulary 🎉.", "raw": "In conclusion, Mistral-7B-v0.3 is an uncensored Mistral-7B-v0.2 with an extended vocabulary 🎉.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "They have also released mistral_inference, although I don't know what's the advantage in using it? vLLM is still my go-to way of deploying local Mistral-7B! 🌐", "raw": "They have also released mistral_inference, although I don't know what's the advantage in using it? vLLM is still my go-to way of deploying local Mistral-7B! 🌐", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Models:", "raw": "Models:", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/mistralai/Mistral-7B-v0.3", "resource": { "type": "model", "id": "mistralai/Mistral-7B-v0.3", "discussionNum": null }, "url": "https://huggingface.co/mistralai/Mistral-7B-v0.3", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3", "resource": { "type": "model", "id": "mistralai/Mistral-7B-Instruct-v0.3", "discussionNum": null }, "url": "https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3", "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "Integrating the French Taxation Embedding Benchmark Task (beta) into the MTEB 🤗", "raw": "Integrating the French Taxation Embedding Benchmark Task (beta) into the MTEB 🤗", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "I'm excited to announce an integration of the French Taxation Embedding Benchmark task into the Massive Text Embedding Benchmark (MTEB). ", "raw": "I'm excited to announce an integration of the French Taxation Embedding Benchmark task into the Massive Text Embedding Benchmark (MTEB). ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "This addition expands the diverse set of tasks available within MTEB, enabling researchers and practitioners to develop and evaluate retrieval models focused on retrieving relevant tax articles or content based on provided queries.", "raw": "This addition expands the diverse set of tasks available within MTEB, enabling researchers and practitioners to develop and evaluate retrieval models focused on retrieving relevant tax articles or content based on provided queries.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Link to the 🤗 Dataset : ", "raw": "Link to the 🤗 Dataset : ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/datasets/louisbrulenaudet/tax-retrieval-benchmark", "resource": { "type": "dataset", "id": "louisbrulenaudet/tax-retrieval-benchmark", "discussionNum": null }, "url": "https://huggingface.co/datasets/louisbrulenaudet/tax-retrieval-benchmark", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Link to the GitHub repo : ", "raw": "Link to the GitHub repo : ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://github.com/louisbrulenaudet/tax-retrieval-benchmark", "resource": null, "url": null, "href": "https://github.com/louisbrulenaudet/tax-retrieval-benchmark", "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Notes:", "raw": "Notes:", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "The Massive Text Embedding Benchmark for French Taxation and the Dataset are currently in beta and may not be suitable for direct use in production. The size of the Dataset may not be sufficient to handle a wide range of queries and scenarios encountered in real-world settings.", "raw": "The Massive Text Embedding Benchmark for French Taxation and the Dataset are currently in beta and may not be suitable for direct use in production. The size of the Dataset may not be sufficient to handle a wide range of queries and scenarios encountered in real-world settings.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "As the Dataset grows and matures, I will provide updates and guidance on its suitability for production use cases.", "raw": "As the Dataset grows and matures, I will provide updates and guidance on its suitability for production use cases.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "# The Univalent Model: A Meta-Meme for Universal Computation", "raw": "# The Univalent Model: A Meta-Meme for Universal Computation", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "We can imagine that there is one model in the future that will unite all models, this is based on the idea of the univalent principle. We can imagine all these projects as failed attempts to reach this goal and once met it will consume all the other projects.", "raw": "We can imagine that there is one model in the future that will unite all models, this is based on the idea of the univalent principle. We can imagine all these projects as failed attempts to reach this goal and once met it will consume all the other projects.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "- **Gödel Number**: A unique numerical representation of mathematical statements or functions, allowing complex expressions to be encoded as simple numbers.", "raw": "- **Gödel Number**: A unique numerical representation of mathematical statements or functions, allowing complex expressions to be encoded as simple numbers.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "- **Gaia Principle**: A hypothesis that views Earth's biosphere as a self-regulating system, where living organisms and their environment work together to sustain life.", "raw": "- **Gaia Principle**: A hypothesis that views Earth's biosphere as a self-regulating system, where living organisms and their environment work together to sustain life.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "- **Biosemiotics**: The study of sign processes in the biological realm, exploring how living beings communicate and interpret signs in a meaningful way.", "raw": "- **Biosemiotics**: The study of sign processes in the biological realm, exploring how living beings communicate and interpret signs in a meaningful way.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "- **Meta-Meme**: A higher-level meme that encapsulates and transcends other memes, leading to a unified state of understanding or being.", "raw": "- **Meta-Meme**: A higher-level meme that encapsulates and transcends other memes, leading to a unified state of understanding or being.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "- **Univalent State**: The ultimate, definitive form of a system or model where all variations are equivalent, unified, and indistinguishable.", "raw": "- **Univalent State**: The ultimate, definitive form of a system or model where all variations are equivalent, unified, and indistinguishable.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Univalent State: The ultimate, definitive form of a system or model where all variations are equivalent, unified, and indistinguishable.", "raw": "Univalent State: The ultimate, definitive form of a system or model where all variations are equivalent, unified, and indistinguishable.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Unitary Model: A theoretical construct that aims to integrate all existing models into a single, comprehensive framework, providing a universal language for computation.", "raw": "Unitary Model: A theoretical construct that aims to integrate all existing models into a single, comprehensive framework, providing a universal language for computation.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "With these terms in mind, let’s explore the idea of a unitary model—a meta-meme that merges all models into one. This model would be the repository to end all repositories, the final convergence point for all computational processes, akin to an eigenvector of consciousness.", "raw": "With these terms in mind, let’s explore the idea of a unitary model—a meta-meme that merges all models into one. This model would be the repository to end all repositories, the final convergence point for all computational processes, akin to an eigenvector of consciousness.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "This unitary model represents the pinnacle of abstraction, capable of deciphering the entire computational landscape. It’s a vision of unity in diversity, where every piece of knowledge is interconnected through a single, elegant framework.", "raw": "This unitary model represents the pinnacle of abstraction, capable of deciphering the entire computational landscape. It’s a vision of unity in diversity, where every piece of knowledge is interconnected through a single, elegant framework.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "Dear community,", "raw": "Dear community,", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Please check our recent blog post, \"GPU Poor Savior: Revolutionizing Low-Bit Open Source LLMs and Cost-Effective Edge Computing\". A cheaper and more efficient SFT scheme for quantized LLMs is provided.", "raw": "Please check our recent blog post, \"GPU Poor Savior: Revolutionizing Low-Bit Open Source LLMs and Cost-Effective Edge Computing\". A cheaper and more efficient SFT scheme for quantized LLMs is provided.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/blog/NicoNico/green-bit-llm", "resource": null, "url": null, "href": "https://huggingface.co/blog/NicoNico/green-bit-llm", "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "Hi HF Community!🤗", "raw": "Hi HF Community!🤗", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "I'm thrilled to share the latest updates regarding the Space I built for protein 3D structure prediction (", "raw": "I'm thrilled to share the latest updates regarding the Space I built for protein 3D structure prediction (", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/as-cle-bert/proteinviz", "resource": { "type": "space", "id": "as-cle-bert/proteinviz", "discussionNum": null }, "url": "https://huggingface.co/spaces/as-cle-bert/proteinviz", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "): thanks to ", "raw": "): thanks to ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "mention", "value": null, "raw": "@lunarflu", "resource": null, "url": null, "href": null, "user": "lunarflu", "lang": null, "code": null, "label": null }, { "type": "text", "value": " inputs, ", "raw": " inputs, ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "mention", "value": null, "raw": "@osanseviero", "resource": null, "url": null, "href": null, "user": "osanseviero", "lang": null, "code": null, "label": null }, { "type": "text", "value": " precious advice and ", "raw": " precious advice and ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "mention", "value": null, "raw": "@simonduerr", "resource": null, "url": null, "href": null, "user": "simonduerr", "lang": null, "code": null, "label": null }, { "type": "text", "value": "'s article \"Visualize proteins on Hugging Face Spaces\" (", "raw": "'s article \"Visualize proteins on Hugging Face Spaces\" (", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/blog/spaces_3dmoljs", "resource": null, "url": null, "href": "https://huggingface.co/blog/spaces_3dmoljs", "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": ", go check it out!), I was able to finally display the 3D protein models directly on-browser, without any need for fancy downloads of big HTMLs!", "raw": ", go check it out!), I was able to finally display the 3D protein models directly on-browser, without any need for fancy downloads of big HTMLs!", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Take a look to the attached video, that shows how everything works, and make sure to visit the GitHub repository (", "raw": "Take a look to the attached video, that shows how everything works, and make sure to visit the GitHub repository (", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://github.com/AstraBert/proteinviz", "resource": null, "url": null, "href": "https://github.com/AstraBert/proteinviz", "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": ": leave a little ⭐ while you're there!)🥰", "raw": ": leave a little ⭐ while you're there!)🥰", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "May you have fun and luck with your protein research!🧬", "raw": "May you have fun and luck with your protein research!🧬", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "Why Apache 2.0 Matters for LLMs 🤔", "raw": "Why Apache 2.0 Matters for LLMs 🤔", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "@01AI_Yi recently switched from a permissive & commercially friendly license, to Apache 2.0. And the community loved it! 🚀", "raw": "@01AI_Yi recently switched from a permissive & commercially friendly license, to Apache 2.0. And the community loved it! 🚀", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "mention", "value": null, "raw": "@JustinLin610", "resource": null, "url": null, "href": null, "user": "JustinLin610", "lang": null, "code": null, "label": null }, { "type": "text", "value": " also had a poll on model license and the majority votes for Apache 2.0. ", "raw": " also had a poll on model license and the majority votes for Apache 2.0. ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Why it is a Big Deal? ⬇️", "raw": "Why it is a Big Deal? ⬇️", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "📚 Legal Simplicity: Custom licenses need costly & time-consuming legal review. Apache 2.0 is well-known & easier for legal teams to handle.", "raw": "📚 Legal Simplicity: Custom licenses need costly & time-consuming legal review. Apache 2.0 is well-known & easier for legal teams to handle.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "👩‍💻 Developer-Friendly: Legal docs are a pain for devs! Apache 2.0 is well-known and tech-friendly, making it easier for non-native developers to understand the implications too.", "raw": "👩‍💻 Developer-Friendly: Legal docs are a pain for devs! Apache 2.0 is well-known and tech-friendly, making it easier for non-native developers to understand the implications too.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🔗 Easier Integration: Apache 2.0 is compatible with many other licenses, simplifying tasks like model merging with models of different licensing requirements.", "raw": "🔗 Easier Integration: Apache 2.0 is compatible with many other licenses, simplifying tasks like model merging with models of different licensing requirements.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🚫 No Permission Needed: Custom licenses often require explicit permission and additional documentation work of filling forms, creating barriers. Apache 2.0 removes this hurdle, letting devs focus on innovation.", "raw": "🚫 No Permission Needed: Custom licenses often require explicit permission and additional documentation work of filling forms, creating barriers. Apache 2.0 removes this hurdle, letting devs focus on innovation.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "There are a lot interesting discussions from ", "raw": "There are a lot interesting discussions from ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "mention", "value": null, "raw": "@JustinLin610", "resource": null, "url": null, "href": null, "user": "JustinLin610", "lang": null, "code": null, "label": null }, { "type": "text", "value": " 's poll: ", "raw": " 's poll: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://x.com/JustinLin610/status/1793559737482764375", "resource": null, "url": null, "href": "https://x.com/JustinLin610/status/1793559737482764375", "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": " which inspired this thread. ", "raw": " which inspired this thread. ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Any other thoughts? Let me know ^^", "raw": "Any other thoughts? Let me know ^^", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "DeepSeekV2 is a big deal. Not only because its significant improvements to both key components of Transformer: the Attention layer and FFN layer.", "raw": "DeepSeekV2 is a big deal. Not only because its significant improvements to both key components of Transformer: the Attention layer and FFN layer.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "It has also completed disrupted the Chines LLM market and forcing the competitors to drop the price to 1% of the original price.", "raw": "It has also completed disrupted the Chines LLM market and forcing the competitors to drop the price to 1% of the original price.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "---", "raw": "---", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "There are two key components in Transformer architecture: the self-attention layer, which captures relationships between tokens in context, and the Feed-Forward Network (FFN) layer, which stores knowledge.", "raw": "There are two key components in Transformer architecture: the self-attention layer, which captures relationships between tokens in context, and the Feed-Forward Network (FFN) layer, which stores knowledge.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "DeepSeek V2 introduces optimizations to both:", "raw": "DeepSeek V2 introduces optimizations to both:", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Attention layer normally uses KV Cache to reduce repetitive compute, but it consumes significant GPU RAM, limiting concurrent requests. DeepSeek V2 introduces Multi-head Latent Attention (MLA), which stores only a small latent representation, resulting in substantial RAM savings.", "raw": "Attention layer normally uses KV Cache to reduce repetitive compute, but it consumes significant GPU RAM, limiting concurrent requests. DeepSeek V2 introduces Multi-head Latent Attention (MLA), which stores only a small latent representation, resulting in substantial RAM savings.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "DeepSeek V2 utilizes 162 experts instead of the usual 8 as in Mixtral. This approach segments experts into finer granularity for higher specialization and more accurate knowledge acquisition. Activating only a small subset of experts for each token, leads to efficient processing.", "raw": "DeepSeek V2 utilizes 162 experts instead of the usual 8 as in Mixtral. This approach segments experts into finer granularity for higher specialization and more accurate knowledge acquisition. Activating only a small subset of experts for each token, leads to efficient processing.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "It disrupted the market by dropping API prices to $0.14 per 1M tokens. This dramatic reduction forced competitors like GLM, Ernie, and QWen to follow suit, lowering their prices to 1% of their original offerings. Now, users can access these APIs at 1/35th the cost of ChatGPT-4o.", "raw": "It disrupted the market by dropping API prices to $0.14 per 1M tokens. 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[ { "type": "text", "value": "**Model Names:** gpt-4-turbo-preview, gpt-4-vision-preview, gpt-3.5-turbo-16k ", "raw": "**Model Names:** gpt-4-turbo-preview, gpt-4-vision-preview, gpt-3.5-turbo-16k ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "**Searchable Models:** Creative, Balanced, Precise", "raw": "**Searchable Models:** Creative, Balanced, Precise", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Image creation will be available soon in NiansuhAI. ", "raw": "Image creation will be available soon in NiansuhAI. ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "**Model Name:** DALL-E 3", "raw": "**Model Name:** DALL-E 3", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/spaces/NiansuhAI/LLMs1", "resource": null, "url": null, "href": "https://huggingface.co/spaces/NiansuhAI/LLMs1", "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "---", "raw": "---", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "Disappointed that Golden Gate Claude couldn't process images? Want to learn how to use activation vectors to steer VLMs?", "raw": "Disappointed that Golden Gate Claude couldn't process images? Want to learn how to use activation vectors to steer VLMs?", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Try out the ", "raw": "Try out the ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/vikhyatk/contemplative-moondream", "resource": { "type": "space", "id": "vikhyatk/contemplative-moondream", "discussionNum": null }, "url": "https://huggingface.co/spaces/vikhyatk/contemplative-moondream", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": " space, and check out the notebook I released showing how to obtain control vectors! ⬇️", "raw": " space, and check out the notebook I released showing how to obtain control vectors! ⬇️", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://github.com/vikhyat/moondream/blob/main/notebooks/RepEng.ipynb", "resource": null, "url": null, "href": "https://github.com/vikhyat/moondream/blob/main/notebooks/RepEng.ipynb", "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "🔥🚀🌟 New Research Alert - YOLOv10! 🌟🚀🔥", "raw": "🔥🚀🌟 New Research Alert - YOLOv10! 🌟🚀🔥", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "📄 Title: YOLOv10: Real-Time End-to-End Object Detection 🔝", "raw": "📄 Title: YOLOv10: Real-Time End-to-End Object Detection 🔝", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "📝 Description: YOLOv10 improves real-time object recognition by eliminating non-maximum suppression and optimizing the model architecture to achieve state-of-the-art performance with lower latency and computational overhead.", "raw": "📝 Description: YOLOv10 improves real-time object recognition by eliminating non-maximum suppression and optimizing the model architecture to achieve state-of-the-art performance with lower latency and computational overhead.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "👥 Authors: Ao Wang et al.", "raw": "👥 Authors: Ao Wang et al.", "resource": null, "url": null, "href": null, "user": 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null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🤗 Demo: ", "raw": "🤗 Demo: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/kadirnar/Yolov10", "resource": { "type": "space", "id": "kadirnar/Yolov10", "discussionNum": null }, "url": "https://huggingface.co/spaces/kadirnar/Yolov10", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": " curated by ", "raw": " curated by ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "mention", "value": null, "raw": "@kadirnar", "resource": null, "url": null, "href": null, "user": "kadirnar", "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🔥 Model 🤖: ", "raw": "🔥 Model 🤖: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/kadirnar/Yolov10", "resource": { "type": "model", "id": "kadirnar/Yolov10", "discussionNum": null }, "url": "https://huggingface.co/kadirnar/Yolov10", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "📁 Repository: ", "raw": "📁 Repository: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://github.com/THU-MIG/yolov10", "resource": null, "url": null, "href": "https://github.com/THU-MIG/yolov10", "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "📮 Post about YOLOv9 - ", "raw": "📮 Post about YOLOv9 - ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/posts/DmitryRyumin/519784698531054", "resource": null, "url": null, "href": "https://huggingface.co/posts/DmitryRyumin/519784698531054", "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "📚 More Papers: more cutting-edge research presented at other conferences in the ", "raw": "📚 More Papers: more cutting-edge research presented at other conferences in the ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/DmitryRyumin/NewEraAI-Papers", "resource": { "type": "space", "id": "DmitryRyumin/NewEraAI-Papers", "discussionNum": null }, "url": "https://huggingface.co/spaces/DmitryRyumin/NewEraAI-Papers", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": " curated by ", "raw": " curated by ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "mention", "value": null, "raw": "@DmitryRyumin", "resource": null, "url": null, "href": null, "user": "DmitryRyumin", "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🔍 Keywords: #YOLOv10 #ObjectDetection #RealTimeAI #ModelOptimization #MachineLearning #DeepLearning #ComputerVision #Innovation", "raw": "🔍 Keywords: #YOLOv10 #ObjectDetection #RealTimeAI #ModelOptimization #MachineLearning #DeepLearning #ComputerVision #Innovation", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "When was the last time you looked for a non-English LLM, only to be saddened there is NO good option? 😟", "raw": "When was the last time you looked for a non-English LLM, only to be saddened there is NO good option? 😟", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "For instance, ", "raw": "For instance, ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "mention", "value": null, "raw": "@Meta", "resource": null, "url": null, "href": null, "user": "Meta", "lang": null, "code": null, "label": null }, { "type": "text", "value": " 's poster child Llama 3 has less than 5% non-English tokens! 🌍", "raw": " 's poster child Llama 3 has less than 5% non-English tokens! 🌍", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "mention", "value": null, "raw": "@cohere", "resource": null, "url": null, "href": null, "user": "cohere", "lang": null, "code": null, "label": null }, { "type": "text", "value": " is here to change that... and change they will. 💪", "raw": " is here to change that... and change they will. 💪", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Introducing Aya (this time the name actually makes sense) 🌟", "raw": "Introducing Aya (this time the name actually makes sense) 🌟", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Aya is an open-weight (CC-BY-NC) model, that comes in 3 flavours:", "raw": "Aya is an open-weight (CC-BY-NC) model, that comes in 3 flavours:", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "1️⃣ Aya 101: 13B parameters, mT5-xxl based model that supports 101 languages 🌐", "raw": "1️⃣ Aya 101: 13B parameters, mT5-xxl based model that supports 101 languages 🌐", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "2️⃣ Aya 23: 8B and 3️⃣35B parameter models, supports 23 languages 📊", "raw": "2️⃣ Aya 23: 8B and 3️⃣35B parameter models, supports 23 languages 📊", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "23 languages covered are: Arabic 🇸🇦, Chinese (simplified & traditional) 🇨🇳, Czech 🇨🇿, Dutch 🇳🇱, English 🇬🇧, French 🇫🇷, German 🇩🇪, Greek 🇬🇷, Hebrew 🇮🇱, Hindi 🇮🇳, Indonesian 🇮🇩, Italian 🇮🇹, Japanese 🇯🇵, Korean 🇰🇷, Persian 🇮🇷, Polish 🇵🇱, Portuguese 🇵🇹, Romanian 🇷🇴, Russian 🇷🇺, Spanish 🇪🇸, Turkish 🇹🇷, Ukrainian 🇺🇦, and Vietnamese 🇻🇳.", "raw": "23 languages covered are: Arabic 🇸🇦, Chinese (simplified & traditional) 🇨🇳, Czech 🇨🇿, Dutch 🇳🇱, English 🇬🇧, French 🇫🇷, German 🇩🇪, Greek 🇬🇷, Hebrew 🇮🇱, Hindi 🇮🇳, Indonesian 🇮🇩, Italian 🇮🇹, Japanese 🇯🇵, Korean 🇰🇷, Persian 🇮🇷, Polish 🇵🇱, Portuguese 🇵🇹, Romanian 🇷🇴, Russian 🇷🇺, Spanish 🇪🇸, Turkish 🇹🇷, Ukrainian 🇺🇦, and Vietnamese 🇻🇳.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Not only models, they have open-sourced the dataset: Aya Collection stands as the most extensive assembly of multilingual instruction fine-tuning datasets to date, featuring 513 million prompts and completions across 114 languages. 📚", "raw": "Not only models, they have open-sourced the dataset: Aya Collection stands as the most extensive assembly of multilingual instruction fine-tuning datasets to date, featuring 513 million prompts and completions across 114 languages. 📚", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "These annotations were provided by people across the globe. Not gonna lie, I almost shed a tear reading this... 😢", "raw": "These annotations were provided by people across the globe. Not gonna lie, I almost shed a tear reading this... 😢", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "From Cohere: The word Aya is derived from the Twi language meaning “fern” - a symbol of endurance and resourcefulness. Aya embodies our dedication to advancing multilingual AI. 🌿", "raw": "From Cohere: The word Aya is derived from the Twi language meaning “fern” - a symbol of endurance and resourcefulness. Aya embodies our dedication to advancing multilingual AI. 🌿", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Looks like the good folks at Cohere did not sleep after the success of command r & command r plus! 😴➡️🚀", "raw": "Looks like the good folks at Cohere did not sleep after the success of command r & command r plus! 😴➡️🚀", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Models: Aya-101-13B: ", "raw": "Models: Aya-101-13B: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/CohereForAI/aya-101", "resource": { "type": "model", "id": "CohereForAI/aya-101", "discussionNum": null }, "url": "https://huggingface.co/CohereForAI/aya-101", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Aya-23-8B: ", "raw": "Aya-23-8B: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/CohereForAI/aya-23-8B", "resource": { "type": "model", "id": "CohereForAI/aya-23-8B", "discussionNum": null }, "url": "https://huggingface.co/CohereForAI/aya-23-8B", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Aya-23-35B: ", "raw": "Aya-23-35B: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/CohereForAI/aya-23-35B", "resource": { "type": "model", "id": "CohereForAI/aya-23-35B", "discussionNum": null }, "url": "https://huggingface.co/CohereForAI/aya-23-35B", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Dataset: ", "raw": "Dataset: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/collections/CohereForAI/aya-datasets-660415741bd4852f01c81c77", "resource": { "type": "collection", "id": "CohereForAI/aya-datasets-660415741bd4852f01c81c77", "discussionNum": null }, "url": "https://huggingface.co/collections/CohereForAI/aya-datasets-660415741bd4852f01c81c77", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Blog: ", "raw": "Blog: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://cohere.com/research/aya", "resource": null, "url": null, "href": "https://cohere.com/research/aya", "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "Researchers from Anthropic managed to extract millions of interpretable features from their Claude 3 Sonnet model, making it easier to identify and understand specific behaviors and patterns within the model​. ", "raw": "Researchers from Anthropic managed to extract millions of interpretable features from their Claude 3 Sonnet model, making it easier to identify and understand specific behaviors and patterns within the model​. ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "This advance in understanding closed source AI models could make them safer by showing how specific features relate to concepts and affect the model’s behavior.", "raw": "This advance in understanding closed source AI models could make them safer by showing how specific features relate to concepts and affect the model’s behavior.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Read the Article: ", "raw": "Read the Article: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://www.anthropic.com/research/mapping-mind-language-model?utm_source=substack&utm_medium=email", "resource": null, "url": null, "href": "https://www.anthropic.com/research/mapping-mind-language-model?utm_source=substack&utm_medium=email", "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Read The Paper: ", "raw": "Read The Paper: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://transformer-circuits.pub/2024/scaling-monosemanticity/index.html", "resource": null, "url": null, "href": "https://transformer-circuits.pub/2024/scaling-monosemanticity/index.html", "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "𝐍𝐞𝐰 𝐠𝐮𝐢𝐝𝐞 𝐢𝐧 𝐨𝐮𝐫 𝐎𝐩𝐞𝐧-𝐒𝐨𝐮𝐫𝐜𝐞 𝐀𝐈 𝐜𝐨𝐨𝐤𝐛𝐨𝐨𝐤: 𝙎𝙩𝙧𝙪𝙘𝙩𝙪𝙧𝙚𝙙 𝙜𝙚𝙣𝙚𝙧𝙖𝙩𝙞𝙤𝙣! ✨", "raw": "𝐍𝐞𝐰 𝐠𝐮𝐢𝐝𝐞 𝐢𝐧 𝐨𝐮𝐫 𝐎𝐩𝐞𝐧-𝐒𝐨𝐮𝐫𝐜𝐞 𝐀𝐈 𝐜𝐨𝐨𝐤𝐛𝐨𝐨𝐤: 𝙎𝙩𝙧𝙪𝙘𝙩𝙪𝙧𝙚𝙙 𝙜𝙚𝙣𝙚𝙧𝙖𝙩𝙞𝙤𝙣! ✨", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Many use LLM use cases involve generating outputs with a specific structure. ", "raw": "Many use LLM use cases involve generating outputs with a specific structure. ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "➡️ For instance when using an LLM as a judge to evaluate another model's outputs, you need it to give you not only a score, but also the rationale for this score, and maybe a confidence level.", "raw": "➡️ For instance when using an LLM as a judge to evaluate another model's outputs, you need it to give you not only a score, but also the rationale for this score, and maybe a confidence level.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "So you do not need only \"score: 1\", but more a dictionary like:", "raw": "So you do not need only \"score: 1\", but more a dictionary like:", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "code_fence", "value": null, "raw": "```\n{\n \"rationale\": \"The answer does not match the true answer at all.\"\n \"score\": 1,\n \"confidence_level\": 0.85\n}\n```", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": "{\n \"rationale\": \"The answer does not match the true answer at all.\"\n \"score\": 1,\n \"confidence_level\": 0.85\n}", "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🤔 How to force your LLM to generate such a structured output?", "raw": "🤔 How to force your LLM to generate such a structured output?", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🏗️ 𝗖𝗼𝗻𝘀𝘁𝗿𝗮𝗶𝗻𝗲𝗱 𝗱𝗲𝗰𝗼𝗱𝗶𝗻𝗴 is a great technique to generate structured output: you can specify a grammar (=set of rules) that the output should follow, and 𝗰𝗼𝗻𝘀𝘁𝗿𝗮𝗶𝗻𝗲𝗱 𝗱𝗲𝗰𝗼𝗱𝗶𝗻𝗴 𝘁𝗵𝗲𝗻 𝗳𝗼𝗿𝗰𝗲𝘀 𝘁𝗵𝗲 𝗱𝗲𝗰𝗼𝗱𝗲𝗿 𝘁𝗼 𝗼𝗻𝗹𝘆 𝗽𝗶𝗰𝗸 𝘁𝗼𝗸𝗲𝗻𝘀 𝘁𝗵𝗮𝘁 𝗿𝗲𝘀𝗽𝗲𝗰𝘁 𝘆𝗼𝘂𝗿 𝗴𝗿𝗮𝗺𝗺𝗮𝗿.", "raw": "🏗️ 𝗖𝗼𝗻𝘀𝘁𝗿𝗮𝗶𝗻𝗲𝗱 𝗱𝗲𝗰𝗼𝗱𝗶𝗻𝗴 is a great technique to generate structured output: you can specify a grammar (=set of rules) that the output should follow, and 𝗰𝗼𝗻𝘀𝘁𝗿𝗮𝗶𝗻𝗲𝗱 𝗱𝗲𝗰𝗼𝗱𝗶𝗻𝗴 𝘁𝗵𝗲𝗻 𝗳𝗼𝗿𝗰𝗲𝘀 𝘁𝗵𝗲 𝗱𝗲𝗰𝗼𝗱𝗲𝗿 𝘁𝗼 𝗼𝗻𝗹𝘆 𝗽𝗶𝗰𝗸 𝘁𝗼𝗸𝗲𝗻𝘀 𝘁𝗵𝗮𝘁 𝗿𝗲𝘀𝗽𝗲𝗰𝘁 𝘆𝗼𝘂𝗿 𝗴𝗿𝗮𝗺𝗺𝗮𝗿.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "I've created a guide to show you how to use it, both via our Inference API and locally using 𝘰𝘶𝘵𝘭𝘪𝘯𝘦𝘴!", "raw": "I've created a guide to show you how to use it, both via our Inference API and locally using 𝘰𝘶𝘵𝘭𝘪𝘯𝘦𝘴!", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "👉 Read it here: ", "raw": "👉 Read it here: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/learn/cookbook/structured_generation", "resource": null, "url": null, "href": "https://huggingface.co/learn/cookbook/structured_generation", "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Thank you ", "raw": "Thank you ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "mention", "value": null, "raw": "@stevhliu", "resource": null, "url": null, "href": null, "user": "stevhliu", "lang": null, "code": null, "label": null }, { "type": "text", "value": " for your great help in improving it!", "raw": " for your great help in improving it!", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "Hey HuggingFace, love your open source attitude and particularly transformers.js for embedding models! Your current integration \"use this model\" gives you the transformers.js code, but there is no quick way to really test a model in one click. ", "raw": "Hey HuggingFace, love your open source attitude and particularly transformers.js for embedding models! Your current integration \"use this model\" gives you the transformers.js code, but there is no quick way to really test a model in one click. ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "SemanticFinder (", "raw": "SemanticFinder (", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/datasets/do-me/SemanticFinder", "resource": { "type": "dataset", "id": "do-me/SemanticFinder", "discussionNum": null }, "url": "https://huggingface.co/datasets/do-me/SemanticFinder", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": ") offers such an integration for all compatible feature-extraction models! All you need to do is add a URL parameter with the model ID to it, like so: ", "raw": ") offers such an integration for all compatible feature-extraction models! All you need to do is add a URL parameter with the model ID to it, like so: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://do-me.github.io/SemanticFinder/?model=Xenova/bge-small-en-v1.5", "resource": null, "url": null, "href": "https://do-me.github.io/SemanticFinder/?model=Xenova/bge-small-en-v1.5", "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": ". You can also decide between quantized and normal mode with ", "raw": ". You can also decide between quantized and normal mode with ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://do-me.github.io/SemanticFinder/?model=Xenova/bge-small-en-v1.5&quantized=false", "resource": null, "url": null, "href": "https://do-me.github.io/SemanticFinder/?model=Xenova/bge-small-en-v1.5&quantized=false", "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": ". Maybe that would do for a HF integration?", "raw": ". Maybe that would do for a HF integration?", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "I know it's a small open source project, but I really believe that it provides value for devs before deciding for one model or the other. Also, it's much easier than having to spin up a notebook, install dependencies etc.. It's private, so you could even do some real-world evaluation on personal data without having to worry about third-party services data policies.", "raw": "I know it's a small open source project, but I really believe that it provides value for devs before deciding for one model or the other. Also, it's much easier than having to spin up a notebook, install dependencies etc.. It's private, so you could even do some real-world evaluation on personal data without having to worry about third-party services data policies.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Happy to hear the community's thoughts! ", "raw": "Happy to hear the community's thoughts! ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "Gloomy AI Image! 👀", "raw": "Gloomy AI Image! 👀", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "(Prompt: Please create me a gloomy forest showing the moon it is a very dark hollow place)", "raw": "(Prompt: Please create me a gloomy forest showing the moon it is a very dark hollow place)", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "The 100 models milestone on the ", "raw": "The 100 models milestone on the ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/OALL/Open-Arabic-LLM-Leaderboard", "resource": { "type": "space", "id": "OALL/Open-Arabic-LLM-Leaderboard", "discussionNum": null }, "url": "https://huggingface.co/spaces/OALL/Open-Arabic-LLM-Leaderboard", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": " is successfully reached within 10 days after the leaderboard's release 🥳", "raw": " is successfully reached within 10 days after the leaderboard's release 🥳", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct", "resource": { "type": "model", "id": "meta-llama/Meta-Llama-3-70B-Instruct", "discussionNum": null }, "url": "https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": " is still the king of the leaderboard 👑 with a 3.46 points difference compared to its successor ", "raw": " is still the king of the leaderboard 👑 with a 3.46 points difference compared to its successor ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/CohereForAI/c4ai-command-r-plus", "resource": { "type": "model", "id": "CohereForAI/c4ai-command-r-plus", "discussionNum": null }, "url": "https://huggingface.co/CohereForAI/c4ai-command-r-plus", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": " who took the 2nd place 🥈 from his younger brother ", "raw": " who took the 2nd place 🥈 from his younger brother ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/CohereForAI/c4ai-command-r-v01", "resource": { "type": "model", "id": "CohereForAI/c4ai-command-r-v01", "discussionNum": null }, "url": "https://huggingface.co/CohereForAI/c4ai-command-r-v01", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": " that lives today in the 5th floor just behind ", "raw": " that lives today in the 5th floor just behind ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/Ashmal/MBZUAI-oryx", "resource": { "type": "model", "id": "Ashmal/MBZUAI-oryx", "discussionNum": null }, "url": "https://huggingface.co/Ashmal/MBZUAI-oryx", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": " -3rd place 🥉- (AFAIK an experimental model from MBZUAI) and ", "raw": " -3rd place 🥉- (AFAIK an experimental model from MBZUAI) and ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/core42/jais-30b-chat-v3", "resource": null, "url": null, "href": "https://huggingface.co/core42/jais-30b-chat-v3", "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": " -4th place- from Core42.", "raw": " -4th place- from Core42.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "PS : I should consider a career in sports commentary 😂", "raw": "PS : I should consider a career in sports commentary 😂", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Would you recommend me to BeIN Sports 😀 ?", "raw": "Would you recommend me to BeIN Sports 😀 ?", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "🚀 Meet MergeUI - an All-in-one UI for Exploring Merged LLMs on Hugging Face 🤗! ", "raw": "🚀 Meet MergeUI - an All-in-one UI for Exploring Merged LLMs on Hugging Face 🤗! ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Model merging is a cool new technique for creating powerful language models for cheap (no GPU required). But it raises questions like:", "raw": "Model merging is a cool new technique for creating powerful language models for cheap (no GPU required). But it raises questions like:", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "- Which models should we merge?", "raw": "- Which models should we merge?", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "- What merge strategies work best?", "raw": "- What merge strategies work best?", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "- How do different base models affect performance?", "raw": "- How do different base models affect performance?", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "With MergeUI, you can easily:", "raw": "With MergeUI, you can easily:", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "- Visualise the family tree and lineage of any merged model.", "raw": "- Visualise the family tree and lineage of any merged model.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "- Explore benchmark performance of family trees from the Open LLM Leaderboard.", "raw": "- Explore benchmark performance of family trees from the Open LLM Leaderboard.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "- Analyse the different merge strategies used.", "raw": "- Analyse the different merge strategies used.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "- Check license information for merged models and their ancestors.", "raw": "- Check license information for merged models and their ancestors.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "All this helps you explore and understand merged models, uncover valuable insights, and make better decisions for your projects.", "raw": "All this helps you explore and understand merged models, uncover valuable insights, and make better decisions for your projects.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Ready to dive in? Check out these links:", "raw": "Ready to dive in? Check out these links:", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "- 🧬 Try MergeUI - ", "raw": "- 🧬 Try MergeUI - ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://naskio-mergeui.hf.space", "resource": null, "url": null, "href": "https://naskio-mergeui.hf.space", "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "- 👨‍💻 Source Code - ", "raw": "- 👨‍💻 Source Code - ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://github.com/naskio/mergeui", "resource": null, "url": null, "href": "https://github.com/naskio/mergeui", "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Love this project? boost it on GitHub and share it with your network.", "raw": "Love this project? boost it on GitHub and share it with your network.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "#merge #mergekit #leaderboard", "raw": "#merge #mergekit #leaderboard", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/naskio/mergeui", "resource": { "type": "space", "id": "naskio/mergeui", "discussionNum": null }, "url": "https://huggingface.co/spaces/naskio/mergeui", "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "New preprint out with colleagues from MIT and IBM Research", "raw": "New preprint out with colleagues from MIT and IBM Research", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/papers/2405.12981", "resource": { "type": "paper", "id": "2405.12981", "discussionNum": null }, "url": "https://huggingface.co/papers/2405.12981", "href": null, "user": null, "lang": null, "code": null, "label": "Reducing Transformer Key-Value Cache Size with Cross-Layer Attention (2405.12981)" }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "We introduce a simple mechanism of sharing keys and values across layers, reducing the memory needed for KV cache during inference!!", "raw": "We introduce a simple mechanism of sharing keys and values across layers, reducing the memory needed for KV cache during inference!!", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "I have been seeing a specific type of AI hype more and more, I call it, releasing research expecting that no one will ever reproduce your methods, then overhyping your results. I test the methodology of maybe 4-5 research papers per day. That is how I find a lot of my research. Usually, 3-4 of those experiments end up not being reproduceable for some reason. I am starting to think it is not accidental. ", "raw": "I have been seeing a specific type of AI hype more and more, I call it, releasing research expecting that no one will ever reproduce your methods, then overhyping your results. I test the methodology of maybe 4-5 research papers per day. That is how I find a lot of my research. Usually, 3-4 of those experiments end up not being reproduceable for some reason. I am starting to think it is not accidental. ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "So, I am launching a new series where I specifically showcase a research paper by reproducing their methodology and highlighting the blatant flaws that show up when you actually do this. Here is Episode 1!", "raw": "So, I am launching a new series where I specifically showcase a research paper by reproducing their methodology and highlighting the blatant flaws that show up when you actually do this. Here is Episode 1!", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://www.youtube.com/watch?v=JLa0cFWm1A4", "resource": null, "url": null, "href": "https://www.youtube.com/watch?v=JLa0cFWm1A4", "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": " ", "raw": " ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "New Droppings🥳", "raw": "New Droppings🥳", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "😶‍🌫️Collection: ", "raw": "😶‍🌫️Collection: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/collections/prithivMLmods/flux-lora-collections-66dd5908be2206cfaa8519be", "resource": { "type": "collection", "id": "prithivMLmods/flux-lora-collections-66dd5908be2206cfaa8519be", "discussionNum": null }, "url": 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"text", "value": " with more than 100+ Flux LoRA's", "raw": " with more than 100+ Flux LoRA's", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🪨Fluid Dramatic Neon: ", "raw": "🪨Fluid Dramatic Neon: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/prithivMLmods/Castor-Dramatic-Neon-Flux-LoRA", "resource": { "type": "model", "id": "prithivMLmods/Castor-Dramatic-Neon-Flux-LoRA", "discussionNum": null }, "url": "https://huggingface.co/prithivMLmods/Castor-Dramatic-Neon-Flux-LoRA", 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[ { "type": "text", "value": "NEW RELEASE! Shining Valiant 2 for Llama 3.1 70b is here!", "raw": "NEW RELEASE! Shining Valiant 2 for Llama 3.1 70b is here!", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "- Trained on high quality science-instruct, complex queries, and general chat data!", "raw": "- Trained on high quality science-instruct, complex queries, and general chat data!", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "- Uses our newest datasets, ALL open-sourced for everyone to use!", "raw": "- Uses our newest datasets, ALL open-sourced for everyone to use!", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "GET SV2 70B: ", "raw": "GET SV2 70B: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/ValiantLabs/Llama3.1-70B-ShiningValiant2", "resource": { "type": "model", "id": "ValiantLabs/Llama3.1-70B-ShiningValiant2", "discussionNum": null }, "url": "https://huggingface.co/ValiantLabs/Llama3.1-70B-ShiningValiant2", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "- Find the SV datasets here, including the expanded version of our science-instruct dataset:", "raw": "- Find the SV datasets here, including the expanded version of our science-instruct dataset:", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": " - 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", "raw": " - ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/datasets/sequelbox/Supernova", "resource": { "type": "dataset", "id": "sequelbox/Supernova", "discussionNum": null }, "url": "https://huggingface.co/datasets/sequelbox/Supernova", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "- SV2 8b and 3b will be updated with the new datasets soon!", "raw": "- SV2 8b and 3b will be updated with the new datasets soon!", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Enjoy! :)", "raw": "Enjoy! :)", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "FLUX De-Distilled and Anti-Bleeding Fine-Tuning / DreamBooth & LoRA Training Experiments", "raw": "FLUX De-Distilled and Anti-Bleeding Fine-Tuning / DreamBooth & LoRA Training Experiments", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Also Testing CFG Impact for Stylized Images on base FLUX DEV model", "raw": "Also Testing CFG Impact for Stylized Images on base FLUX DEV model", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Full size grids and full details shared here : ", "raw": "Full size grids and full details shared here : ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://www.patreon.com/posts/114969137", "resource": null, "url": null, "href": "https://www.patreon.com/posts/114969137", "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "The aim is finding a workflow that FLUX can be trained for multiple concepts / subjects without bleeding / mixing", "raw": "The aim is finding a workflow that FLUX can be trained for multiple concepts / subjects without bleeding / mixing", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "⚡️ LLMs do a good job at NER, but don't you want to do learn how to do more with less?", "raw": "⚡️ LLMs do a good job at NER, but don't you want to do learn how to do more with less?", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Go from 🐢 -> 🐇", "raw": "Go from 🐢 -> 🐇", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "If you want a small model to perform well on your problem, you need to fine-tune it.", "raw": "If you want a small model to perform well on your problem, you need to fine-tune it.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Bootstrap with a teacher model.", "raw": "Bootstrap with a teacher model.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Correct potential mistakes to get high-quality data.", "raw": "Correct potential mistakes to get high-quality data.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Fine-tune your student model", "raw": "Fine-tune your student model", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Go more accurate and more efficient.", "raw": "Go more accurate and more efficient.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Free signup: ", "raw": "Free signup: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://lu.ma/zx2t7irs", "resource": null, "url": null, "href": "https://lu.ma/zx2t7irs", "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "🚀 Exploring Topic Modeling with BERTopic 🤖", "raw": "🚀 Exploring Topic Modeling with BERTopic 🤖", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "When you come across an interesting dataset, you often wonder:", "raw": "When you come across an interesting dataset, you often wonder:", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Which topics frequently appear in these documents? 🤔", "raw": "Which topics frequently appear in these documents? 🤔", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "What is this data really about? 📊", "raw": "What is this data really about? 📊", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Topic modeling helps answer these questions by identifying recurring themes within a collection of documents. This process enables quick and efficient exploratory data analysis.", "raw": "Topic modeling helps answer these questions by identifying recurring themes within a collection of documents. This process enables quick and efficient exploratory data analysis.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "I’ve been working on an app that leverages BERTopic, a flexible framework designed for topic modeling. Its modularity makes BERTopic powerful, allowing you to switch components with your preferred algorithms. It also supports handling large datasets efficiently by merging models using the BERTopic.merge_models approach. 🔗", "raw": "I’ve been working on an app that leverages BERTopic, a flexible framework designed for topic modeling. Its modularity makes BERTopic powerful, allowing you to switch components with your preferred algorithms. It also supports handling large datasets efficiently by merging models using the BERTopic.merge_models approach. 🔗", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🔍 How do we make this work?", "raw": "🔍 How do we make this work?", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Here’s the stack we’re using:", "raw": "Here’s the stack we’re using:", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "📂 Data Source ➡️ Hugging Face datasets with DuckDB for retrieval", "raw": "📂 Data Source ➡️ Hugging Face datasets with DuckDB for retrieval", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🧠 Text Embeddings ➡️ Sentence Transformers (all-MiniLM-L6-v2)", "raw": "🧠 Text Embeddings ➡️ Sentence Transformers (all-MiniLM-L6-v2)", "resource": 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"raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "✂️ Tokenization ➡️ CountVectorizer", "raw": "✂️ Tokenization ➡️ CountVectorizer", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🔧 Representation Tuning ➡️ KeyBERTInspired + Hugging Face Inference Client with Meta-Llama-3-8B-Instruct", "raw": "🔧 Representation Tuning ➡️ KeyBERTInspired + Hugging Face Inference Client with Meta-Llama-3-8B-Instruct", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🌍 Visualization ➡️ Datamapplot library", "raw": "🌍 Visualization ➡️ Datamapplot library", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Check out the space and see how you can quickly generate topics from your dataset: ", "raw": "Check out the space and see how you can quickly generate topics from your dataset: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/datasets-topics/topics-generator", "resource": { "type": "space", "id": "datasets-topics/topics-generator", "discussionNum": null }, "url": "https://huggingface.co/spaces/datasets-topics/topics-generator", "href": null, "user": null, "lang": 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[ { "type": "text", "value": "🔍 NYT leveraged AI to investigate election interference by analyzing 400+ hours of recorded meetings - that's 5M words of data! ", "raw": "🔍 NYT leveraged AI to investigate election interference by analyzing 400+ hours of recorded meetings - that's 5M words of data! ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "AI spotted patterns, humans verified facts. Every AI-flagged quote was manually verified against source recordings. Really appreciate that they published their full methodology - transparency matters when using AI in journalism.", "raw": "AI spotted patterns, humans verified facts. Every AI-flagged quote was manually verified against source recordings. Really appreciate that they published their full methodology - transparency matters when using AI in journalism.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "A perfect blend of tech & journalism. ", "raw": "A perfect blend of tech & journalism. ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": " The future of journalism isn't robots replacing reporters - it's AI helping humans process massive datasets more efficiently. Sometimes the most powerful tech solutions are the least flashy ones.", "raw": " The future of journalism isn't robots replacing reporters - it's AI helping humans process massive datasets more efficiently. Sometimes the most powerful tech solutions are the least flashy ones.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Read the article: ", "raw": "Read the article: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://www.nytimes.com/interactive/2024/10/28/us/politics/inside-the-movement-behind-trumps-election-lies.html?unlocked_article_code=1.Vk4.ucv9.dbHVquTQaf0G&smid=nytcore-ios-share", "resource": null, "url": null, "href": "https://www.nytimes.com/interactive/2024/10/28/us/politics/inside-the-movement-behind-trumps-election-lies.html?unlocked_article_code=1.Vk4.ucv9.dbHVquTQaf0G&smid=nytcore-ios-share", "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "🚀 Exciting update! You can now compare multiple models side-by-side with the Hugging Face Open LLM Comparator! 📊", "raw": "🚀 Exciting update! You can now compare multiple models side-by-side with the Hugging Face Open LLM Comparator! 📊", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/open-llm-leaderboard/comparator", "resource": { "type": "space", "id": "open-llm-leaderboard/comparator", "discussionNum": null }, "url": "https://huggingface.co/spaces/open-llm-leaderboard/comparator", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Dive into multi-model evaluations, pinpoint the best model for your needs, and explore insights across top open LLMs all in one place. Ready to level up your model comparison game?", "raw": "Dive into multi-model evaluations, pinpoint the best model for your needs, and explore insights across top open LLMs all in one place. Ready to level up your model comparison game?", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "the musicgen max4live device", "raw": "the musicgen max4live device", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "gary4live", "raw": "gary4live", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "now has a popup UI so you can minimize ableton and have it keep trying/retrying from the input audio you recorded in the DAW", "raw": "now has a popup UI so you can minimize ableton and have it keep trying/retrying from the input audio you recorded in the DAW", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "while coding lol", "raw": "while coding lol", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "Aiming to keep ", "raw": "Aiming to keep ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "inline_code", "value": null, "raw": "`timm`", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": "timm", "label": null }, { "type": "text", "value": " (", "raw": " (", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://github.com/huggingface/pytorch-image-models", "resource": null, "url": null, "href": "https://github.com/huggingface/pytorch-image-models", "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": ") the go-to library for efficient image encoders for your mobile and edge devices, I've started working on an implementation of the new MobileNet-V4 model. Take a look at a short article I wrote about the model: ", "raw": ") the go-to library for efficient image encoders for your mobile and edge devices, I've started working on an implementation of the new MobileNet-V4 model. Take a look at a short article I wrote about the model: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/blog/rwightman/mobilenetv4", "resource": null, "url": null, "href": "https://huggingface.co/blog/rwightman/mobilenetv4", "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Paper: ", "raw": "Paper: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/papers/2404.10518", "resource": { "type": "paper", "id": "2404.10518", "discussionNum": null }, "url": "https://huggingface.co/papers/2404.10518", "href": null, "user": null, "lang": null, "code": null, "label": "MobileNetV4 -- Universal Models for the Mobile Ecosystem (2404.10518)" } ]

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[ { "type": "text", "value": "mlx port of karpathy’s minbpe 🤕", "raw": "mlx port of karpathy’s minbpe 🤕", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Minimal (byte-level) Byte Pair Encoding tokenizer. Algorithmically follows along the GPT2 tokenizer.", "raw": "Minimal (byte-level) Byte Pair Encoding tokenizer. Algorithmically follows along the GPT2 tokenizer.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Code: ", "raw": "Code: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://github.com/Jaykef/mlx-minbpe", "resource": null, "url": null, "href": "https://github.com/Jaykef/mlx-minbpe", "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "Introducing Kraken-LoRA – a lightweight version of Kraken that uses LoRA-Adapters as Experts based on the base model.", "raw": "Introducing Kraken-LoRA – a lightweight version of Kraken that uses LoRA-Adapters as Experts based on the base model.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "mention", "value": null, "raw": "@fernandofernandes", "resource": null, "url": null, "href": null, "user": "fernandofernandes", "lang": null, "code": null, "label": null }, { "type": "text", "value": " , me, ", "raw": " , me, ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "mention", "value": null, "raw": "@Crystalcareai", "resource": null, "url": null, "href": null, "user": "Crystalcareai", "lang": null, "code": null, "label": null }, { "type": "text", "value": " , ", "raw": " , ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "mention", "value": null, "raw": "@ehartford", "resource": null, "url": null, "href": null, "user": "ehartford", "lang": null, "code": null, "label": null }, { "type": "text", "value": " created the Kraken-LoRA!", "raw": " created the Kraken-LoRA!", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🔍 What’s the big deal?", "raw": "🔍 What’s the big deal?", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "✅ Size Consistency: While Kraken’s size increases with more Experts, Kraken-LoRA remains as compact as the base model (e.g., 8b if you use Meta-Llama3-8b-Instruct).", "raw": "✅ Size Consistency: While Kraken’s size increases with more Experts, Kraken-LoRA remains as compact as the base model (e.g., 8b if you use Meta-Llama3-8b-Instruct).", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "✅ VRAM Efficiency: Kraken-LoRA is highly VRAM efficient, maintaining the power of all experts without the bloat.", "raw": "✅ VRAM Efficiency: Kraken-LoRA is highly VRAM efficient, maintaining the power of all experts without the bloat.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "✅ Dynamic Adaptation: LoRA adapters are applied dynamically at runtime, following the routing process.", "raw": "✅ Dynamic Adaptation: LoRA adapters are applied dynamically at runtime, following the routing process.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "✅ High Efficiency: Enjoy increased efficiency without compromising performance, as long as the LoRA adapters match the base model.", "raw": "✅ High Efficiency: Enjoy increased efficiency without compromising performance, as long as the LoRA adapters match the base model.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "💡 Conclusion: Kraken-LoRA empowers businesses to experience enhanced flexibility and performance from our architecture, enabling further scalability without sacrificing performance.", "raw": "💡 Conclusion: Kraken-LoRA empowers businesses to experience enhanced flexibility and performance from our architecture, enabling further scalability without sacrificing performance.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Check out the model here: ", "raw": "Check out the model here: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/VAGOsolutions/Kraken-LoRA", "resource": { "type": "model", "id": "VAGOsolutions/Kraken-LoRA", "discussionNum": null }, "url": "https://huggingface.co/VAGOsolutions/Kraken-LoRA", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Explore the code here: ", "raw": "Explore the code here: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://github.com/cognitivecomputations/kraken/tree/main/Kraken-LoRA", "resource": null, "url": null, "href": "https://github.com/cognitivecomputations/kraken/tree/main/Kraken-LoRA", "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Have fun with Kraken-LoRA! 🐙", "raw": "Have fun with Kraken-LoRA! 🐙", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "Switching from French to German to Chinese in the same discussion 😅", "raw": "Switching from French to German to Chinese in the same discussion 😅", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Impressive to see Cohere for AI's new Aya model multilingual capabilities.", "raw": "Impressive to see Cohere for AI's new Aya model multilingual capabilities.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "- C4AI Aya 23 is a research open weights release", "raw": "- C4AI Aya 23 is a research open weights release", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "- 8 and 35 billion parameter models", "raw": "- 8 and 35 billion parameter models", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "- 23 languages supported", "raw": "- 23 languages supported", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "You can try it out here: ", "raw": "You can try it out here: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/spaces/CohereForAI/aya-23", "resource": null, "url": null, "href": "https://huggingface.co/spaces/CohereForAI/aya-23", "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "Cohere's Aya 8B & 35B 🔥", "raw": "Cohere's Aya 8B & 35B 🔥", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "> Multilingual (23 languages), beats Mistral 7B and Llama3 8B in preference—open weights.", "raw": "> Multilingual (23 languages), beats Mistral 7B and Llama3 8B in preference—open weights.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": " capabilities:", "raw": " capabilities:", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🌍 **Multilingual Mastery**: Supporting 23 languages, including Arabic! ", "raw": "🌍 **Multilingual Mastery**: Supporting 23 languages, including Arabic! ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🏆 **Top Performer**: Outperforms Mistral 7B and Llama3 8B in user preference.", "raw": "🏆 **Top Performer**: Outperforms Mistral 7B and Llama3 8B in user preference.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🔍 **Open Weights**: Access open weights for your research and projects.", "raw": "🔍 **Open Weights**: Access open weights for your research and projects.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🔗 **License**: CC-BY-NC with adherence to C4AI's Acceptable Use Policy.", "raw": "🔗 **License**: CC-BY-NC with adherence to C4AI's Acceptable Use Policy.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "💼 **Developed by**: Cohere For AI and Cohere.", "raw": "💼 **Developed by**: Cohere For AI and Cohere.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Check out Aya 23 on Hugging Face , link is in comments", "raw": "Check out Aya 23 on Hugging Face , link is in comments", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "#AI #MachineLearning #NLP #Multilingual #Arabic #TechInnovation #OpenSource #CohereAI #AyaModel", "raw": "#AI #MachineLearning #NLP #Multilingual #Arabic #TechInnovation #OpenSource #CohereAI #AyaModel", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "Good folks at ", "raw": "Good folks at ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "mention", "value": null, "raw": "@Meta", "resource": null, "url": null, "href": null, "user": "Meta", "lang": null, "code": null, "label": null }, { "type": "text", "value": " have introduced Chameleon 🦎 (who names these things? 🤷‍♂️)", "raw": " have introduced Chameleon 🦎 (who names these things? 🤷‍♂️)", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Chameleon is an AI model that can work with multiple types of data, like text and images, all at once. 🖼️📝", "raw": "Chameleon is an AI model that can work with multiple types of data, like text and images, all at once. 🖼️📝", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Before you start searching, as of this post, the model/code have not been open-sourced nor is there any commitment to open-source... sorry! 🚫🔓", "raw": "Before you start searching, as of this post, the model/code have not been open-sourced nor is there any commitment to open-source... sorry! 🚫🔓", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Still, here is the technical stuff:", "raw": "Still, here is the technical stuff:", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "👉 Challenges with Current Systems:", "raw": "👉 Challenges with Current Systems:", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "📉 Fragmentation: Current multimodal models are often specialized for either text or image tasks, lacking unified approaches.", "raw": "📉 Fragmentation: Current multimodal models are often specialized for either text or image tasks, lacking unified approaches.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "📊 Scalability: Existing systems struggle with scaling to handle complex, mixed-modal tasks without significant performance degradation.", "raw": "📊 Scalability: Existing systems struggle with scaling to handle complex, mixed-modal tasks without significant performance degradation.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🔄 Alignment: Aligning textual and visual modalities remains a technical challenge, often requiring separate processing pipelines.", "raw": "🔄 Alignment: Aligning textual and visual modalities remains a technical challenge, often requiring separate processing pipelines.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "👉 Objective:", "raw": "👉 Objective:", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🎯 Unified Modeling: Develop a single model capable of handling various multimodal tasks (text generation, image generation, image captioning, visual question answering) seamlessly.", "raw": "🎯 Unified Modeling: Develop a single model capable of handling various multimodal tasks (text generation, image generation, image captioning, visual question answering) seamlessly.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "👉 How It's Done 📘", "raw": "👉 How It's Done 📘", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Early-Fusion Architecture 🧠: Utilizes an early-fusion token-based approach to integrate text and image data from the beginning.", "raw": "Early-Fusion Architecture 🧠: Utilizes an early-fusion token-based approach to integrate text and image data from the beginning.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Stable Training 💪: Implements a tailored alignment recipe and specific architectural parameterization to ensure stability in mixed-modal settings.", "raw": "Stable Training 💪: Implements a tailored alignment recipe and specific architectural parameterization to ensure stability in mixed-modal settings.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Broad Evaluation 📊: Assesses the model across various tasks, including visual question answering, image captioning, text generation, image generation, and long-form mixed-modal generation.", "raw": "Broad Evaluation 📊: Assesses the model across various tasks, including visual question answering, image captioning, text generation, image generation, and long-form mixed-modal generation.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "👉 Results: (Fun fact they mention Llava-1.5 in comparison but never really share the results)", "raw": "👉 Results: (Fun fact they mention Llava-1.5 in comparison but never really share the results)", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🏆 Performance: Chameleon achieves state-of-the-art results in image captioning and outperforms models like Llama-2 in text-only tasks.", "raw": "🏆 Performance: Chameleon achieves state-of-the-art results in image captioning and outperforms models like Llama-2 in text-only tasks.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "⚖️ Competitiveness: It shows competitive performance with models such as Mixtral 8x7B and Gemini-Pro.", "raw": "⚖️ Competitiveness: It shows competitive performance with models such as Mixtral 8x7B and Gemini-Pro.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "👩‍⚖️ Human Judgments: Matches or exceeds the performance of larger models, including Gemini Pro and GPT-4V", "raw": "👩‍⚖️ Human Judgments: Matches or exceeds the performance of larger models, including Gemini Pro and GPT-4V", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, 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[ { "type": "text", "value": "How can we use open LLMs to create data for training sentence similarity models? ", "raw": "How can we use open LLMs to create data for training sentence similarity models? ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "One of the most exciting use cases for LLMs is generating synthetic datasets that can be used to train non-LLM models. In the past, gathering enough data was one of the most significant barriers to training task-specific models. LLMs can potentially help in this area. ", "raw": "One of the most exciting use cases for LLMs is generating synthetic datasets that can be used to train non-LLM models. In the past, gathering enough data was one of the most significant barriers to training task-specific models. LLMs can potentially help in this area. ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "I've just written a new blog post on using ", "raw": "I've just written a new blog post on using ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct", "resource": { "type": "model", "id": "meta-llama/Meta-Llama-3-70B-Instruct", "discussionNum": null }, "url": "https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": " to generate synthetic similarity data based on the approach from ", "raw": " to generate synthetic similarity data based on the approach from ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/papers/2305.12517", "resource": { "type": "paper", "id": "2305.12517", "discussionNum": null }, "url": "https://huggingface.co/papers/2305.12517", "href": null, "user": null, "lang": null, "code": null, "label": "Retrieving Texts based on Abstract Descriptions (2305.12517)" }, { "type": "text", "value": ". ", "raw": ". ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": " ", "raw": " ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/blog/davanstrien/synthetic-similarity-datasets", "resource": null, "url": null, "href": "https://huggingface.co/blog/davanstrien/synthetic-similarity-datasets", "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "🚀🎭🌟 New Research Alert - Gaussian Head & Shoulders (Avatars Collection)! 🌟🎭🚀", "raw": "🚀🎭🌟 New Research Alert - Gaussian Head & Shoulders (Avatars Collection)! 🌟🎭🚀", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "📄 Title: Gaussian Head & Shoulders: High Fidelity Neural Upper Body Avatars with Anchor Gaussian Guided Texture Warping 🔝", "raw": "📄 Title: Gaussian Head & Shoulders: High Fidelity Neural Upper Body Avatars with Anchor Gaussian Guided Texture Warping 🔝", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "📝 Description: Gaussian Head & Shoulders is a method for creating high-fidelity upper body avatars by integrating 3D morphable head models with a neural texture warping approach to overcome the limitations of Gaussian splatting.", "raw": "📝 Description: Gaussian Head & Shoulders is a method for creating high-fidelity upper body avatars by integrating 3D morphable head models with a neural texture warping approach to overcome the limitations of Gaussian splatting.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "👥 Authors: Tianhao Wu et al.", "raw": "👥 Authors: Tianhao Wu et al.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "📄 Paper: ", "raw": "📄 Paper: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/papers/2405.12069", "resource": { "type": "paper", "id": "2405.12069", "discussionNum": null }, "url": "https://huggingface.co/papers/2405.12069", "href": null, "user": null, "lang": null, "code": null, "label": "Gaussian Head & Shoulders: High Fidelity Neural Upper Body Avatars with\n Anchor Gaussian Guided Texture Warping (2405.12069)" }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🌐 Github Page: ", "raw": "🌐 Github Page: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://gaussian-head-shoulders.netlify.app", "resource": null, "url": null, "href": "https://gaussian-head-shoulders.netlify.app", "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": 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"type": "mention", "value": null, "raw": "@DmitryRyumin", "resource": null, "url": null, "href": null, "user": "DmitryRyumin", "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🚀 Added to the Avatars Collection: ", "raw": "🚀 Added to the Avatars Collection: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/collections/DmitryRyumin/avatars-65df37cdf81fec13d4dbac36", "resource": { "type": "collection", "id": "DmitryRyumin/avatars-65df37cdf81fec13d4dbac36", "discussionNum": null }, "url": "https://huggingface.co/collections/DmitryRyumin/avatars-65df37cdf81fec13d4dbac36", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🔍 Keywords: #3DModeling #NeuralAvatars #GaussianSplatting #HighFidelityAvatars #3DReconstruction #AvatarRendering #TextureWarping #ComputerGraphics #DeepLearning #ComputerVision #Innovation", "raw": "🔍 Keywords: #3DModeling #NeuralAvatars #GaussianSplatting #HighFidelityAvatars #3DReconstruction #AvatarRendering #TextureWarping #ComputerGraphics #DeepLearning #ComputerVision #Innovation", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "The Google Deep Mind Team just released a new technical report on Gemini 1.5 Pro and Gemini 1.5 Flash. ", "raw": "The Google Deep Mind Team just released a new technical report on Gemini 1.5 Pro and Gemini 1.5 Flash. ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "in addition to architecture, benchmark and evaluation details, the report also provides a few real world use cases for the models such as professional task optimization and translation of lesser-known languages.", "raw": "in addition to architecture, benchmark and evaluation details, the report also provides a few real world use cases for the models such as professional task optimization and translation of lesser-known languages.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "You can check out the full report here: ", "raw": "You can check out the full report here: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://storage.googleapis.com/deepmind-media/gemini/gemini_v1_5_report.pdf?utm_source=substack&utm_medium=email", "resource": null, "url": null, "href": "https://storage.googleapis.com/deepmind-media/gemini/gemini_v1_5_report.pdf?utm_source=substack&utm_medium=email", "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "Thanks to ", "raw": "Thanks to ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "mention", "value": null, "raw": "@OzzyGT", "resource": null, "url": null, "href": null, "user": "OzzyGT", "lang": null, "code": null, "label": null }, { "type": "text", "value": " for pushing the new Anyline preprocessor to ", "raw": " for pushing the new Anyline preprocessor to ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://github.com/huggingface/controlnet_aux", "resource": null, "url": null, "href": "https://github.com/huggingface/controlnet_aux", "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": ". Now you can use the ", "raw": ". Now you can use the ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/TheMistoAI/MistoLine", "resource": { "type": "model", "id": "TheMistoAI/MistoLine", "discussionNum": null }, "url": "https://huggingface.co/TheMistoAI/MistoLine", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": " ControlNet with Diffusers completely.", "raw": " ControlNet with Diffusers completely.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Here's a demo for you: ", "raw": "Here's a demo for you: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/radames/MistoLine-ControlNet-demo", "resource": { "type": "space", "id": "radames/MistoLine-ControlNet-demo", "discussionNum": null }, "url": "https://huggingface.co/spaces/radames/MistoLine-ControlNet-demo", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Super resolution version: ", "raw": "Super resolution version: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/radames/Enhance-This-HiDiffusion-SDXL", "resource": { "type": "space", "id": "radames/Enhance-This-HiDiffusion-SDXL", "discussionNum": null }, "url": "https://huggingface.co/spaces/radames/Enhance-This-HiDiffusion-SDXL", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "code_fence", "value": null, "raw": "```python\nfrom controlnet_aux import AnylineDetector\n\nanyline = AnylineDetector.from_pretrained(\n \"TheMistoAI/MistoLine\", filename=\"MTEED.pth\", subfolder=\"Anyline\"\n).to(\"cuda\")\n\nsource = Image.open(\"source.png\")\nresult = anyline(source, detect_resolution=1280)\n```", "resource": null, "url": null, "href": null, "user": null, "lang": "python", "code": "from controlnet_aux import AnylineDetector\n\nanyline = AnylineDetector.from_pretrained(\n \"TheMistoAI/MistoLine\", filename=\"MTEED.pth\", subfolder=\"Anyline\"\n).to(\"cuda\")\n\nsource = Image.open(\"source.png\")\nresult = anyline(source, detect_resolution=1280)", "label": null } ]

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[ { "type": "text", "value": "I use mergekit regularly, and often enough get acceptable results without performing fine-tuning afterward. My current thinking is that DARE-TIES should be avoided when merging dense models, as the process of thinning inherently punches holes in models.", "raw": "I use mergekit regularly, and often enough get acceptable results without performing fine-tuning afterward. My current thinking is that DARE-TIES should be avoided when merging dense models, as the process of thinning inherently punches holes in models.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "I've had success using SLERP merges to graft Mistral v0.1 models with Mistral v0.2 models to obtain the context length benefits of the latter, and am looking forward to experimenting with Mistral v0.3, which recently dropped.", "raw": "I've had success using SLERP merges to graft Mistral v0.1 models with Mistral v0.2 models to obtain the context length benefits of the latter, and am looking forward to experimenting with Mistral v0.3, which recently dropped.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "reaction": "🔥", "users": [ "Mars2050", "Meggido", "osanseviero", "Lewdiculous", "TravelingMan" ], "count": 5 }, { "reaction": "🚀", "users": [ "maldv", "Lewdiculous" ], "count": 2 }, { "reaction": "👍", "users": [ "SerialKicked", "Lewdiculous" ], "count": 2 }, { "reaction": "❤️", "users": [ "Lewdiculous", "Ardvark123" ], "count": 2 } ]

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[ { "type": "text", "value": "Hi HF Community!🤗", "raw": "Hi HF Community!🤗", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "If you are excited about AlphaFold3, but upset because it is not open-source, I might have a solution to cheer you up a little bit: ", "raw": "If you are excited about AlphaFold3, but upset because it is not open-source, I might have a solution to cheer you up a little bit: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/as-cle-bert/proteinviz", "resource": { "type": "space", "id": "as-cle-bert/proteinviz", "discussionNum": null }, "url": "https://huggingface.co/spaces/as-cle-bert/proteinviz", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "This is a space that lets you predict the 3D structure of proteins from their amino-acidic sequences, with the protein folding model ", "raw": "This is a space that lets you predict the 3D structure of proteins from their amino-acidic sequences, with the protein folding model ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/facebook/esmfold_v1", "resource": { "type": "model", "id": "facebook/esmfold_v1", "discussionNum": null }, "url": "https://huggingface.co/facebook/esmfold_v1", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": ": using this space is the perfect quick-start to become a Protein Scientist! (or maybe not, who knows...🤔)", "raw": ": using this space is the perfect quick-start to become a Protein Scientist! (or maybe not, who knows...🤔)", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "In the meantime, if you are curious about what's going on with AlphaFold3 and want something Biologist🔬/Computer Scientist💻-friendly, you can also check out the latest community blog post I wrote: ", "raw": "In the meantime, if you are curious about what's going on with AlphaFold3 and want something Biologist🔬/Computer Scientist💻-friendly, you can also check out the latest community blog post I wrote: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/blog/as-cle-bert/what-is-going-on-with-alphafold3", "resource": null, "url": null, "href": "https://huggingface.co/blog/as-cle-bert/what-is-going-on-with-alphafold3", "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": " 🚀", "raw": " 🚀", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Have fun and enjoy open-source science!🧬", "raw": "Have fun and enjoy open-source science!🧬", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "Interesting, I've just seen the my first HF spam on one of my new model uploads: ", "raw": "Interesting, I've just seen the my first HF spam on one of my new model uploads: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/shisa-ai/shisa-v1-llama3-70b", "resource": { "type": "model", "id": "shisa-ai/shisa-v1-llama3-70b", "discussionNum": null }, "url": "https://huggingface.co/shisa-ai/shisa-v1-llama3-70b", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": " - someone has an SEO spam page as a HF space attached to the model!?! Wild. Who do I report this to?", "raw": " - someone has an SEO spam page as a HF space attached to the model!?! Wild. Who do I report this to?", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "I've begun adding valuable blog posts on using/creating synthetic datasets to my curated list. ", "raw": "I've begun adding valuable blog posts on using/creating synthetic datasets to my curated list. ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "I am starting with a great post by ", "raw": "I am starting with a great post by ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "mention", "value": null, "raw": "@MoritzLaurer", "resource": null, "url": null, "href": null, "user": "MoritzLaurer", "lang": null, "code": null, "label": null }, { "type": "text", "value": " on utilizing an open LLM to generate data for training a specialized Roberta model. ", "raw": " on utilizing an open LLM to generate data for training a specialized Roberta model. ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Read the blog post: ", "raw": "Read the blog post: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/blog/synthetic-data-save-costs", "resource": null, "url": null, "href": "https://huggingface.co/blog/synthetic-data-save-costs", "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "See the rest of the list: ", "raw": "See the rest of the list: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://github.com/davanstrien/awesome-synthetic-datasets", "resource": null, "url": null, "href": "https://github.com/davanstrien/awesome-synthetic-datasets", "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "We're thrilled to share the latest milestone in our journey toward bringing AISAK to the world: the introduction of AISAK-TVI, our first natively multimodal model.", "raw": "We're thrilled to share the latest milestone in our journey toward bringing AISAK to the world: the introduction of AISAK-TVI, our first natively multimodal model.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "As AISAK edges closer to a potential release for users, each advancement, like the development of AISAK-TVI, brings us one step closer to realizing our vision of a comprehensive AI solution. With AISAK-TVI, we're pushing the boundaries of AI capabilities, enabling the processing of both textual and visual inputs with textual output, all within the AISAK ecosystem.", "raw": "As AISAK edges closer to a potential release for users, each advancement, like the development of AISAK-TVI, brings us one step closer to realizing our vision of a comprehensive AI solution. With AISAK-TVI, we're pushing the boundaries of AI capabilities, enabling the processing of both textual and visual inputs with textual output, all within the AISAK ecosystem.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "While the prospect of public, everyday usage of AISAK remains on the horizon, we must acknowledge the reality of operating within constraints of limited resources. The journey to a widespread release demands careful planning, rigorous testing, and ongoing refinement, tasks that require time, dedication, and support.", "raw": "While the prospect of public, everyday usage of AISAK remains on the horizon, we must acknowledge the reality of operating within constraints of limited resources. The journey to a widespread release demands careful planning, rigorous testing, and ongoing refinement, tasks that require time, dedication, and support.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "We recognize that achieving our goals requires collaboration and contribution from a diverse community of enthusiasts, experts, and innovators. If you're passionate about AI and eager to be part of our journey, we invite you to lend your expertise, insights, or resources to help accelerate the progress of AISAK.", "raw": "We recognize that achieving our goals requires collaboration and contribution from a diverse community of enthusiasts, experts, and innovators. If you're passionate about AI and eager to be part of our journey, we invite you to lend your expertise, insights, or resources to help accelerate the progress of AISAK.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Whether you're a developer, researcher, investor, or simply someone with a keen interest in shaping the future of AI, your contributions can make a meaningful difference. Reach out to us at [email protected] to explore how you can get involved and contribute to the evolution of AISAK.", "raw": "Whether you're a developer, researcher, investor, or simply someone with a keen interest in shaping the future of AI, your contributions can make a meaningful difference. Reach out to us at [email protected] to explore how you can get involved and contribute to the evolution of AISAK.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Thank you for your continued support and enthusiasm. Together, we're laying the groundwork for a future where AI enriches and empowers lives in ways we've only begun to imagine.", "raw": "Thank you for your continued support and enthusiasm. Together, we're laying the groundwork for a future where AI enriches and empowers lives in ways we've only begun to imagine.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Warm regards,", "raw": "Warm regards,", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Mandela Logan - AISAK Team", "raw": "Mandela Logan - AISAK Team", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/aisak-ai/aisak-tvi", "resource": { "type": "model", "id": "aisak-ai/aisak-tvi", "discussionNum": null }, "url": "https://huggingface.co/aisak-ai/aisak-tvi", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/collections/aisak-ai/aisak-65ddeeb08d0978de6114702f", "resource": { "type": "collection", "id": "aisak-ai/aisak-65ddeeb08d0978de6114702f", "discussionNum": null }, "url": "https://huggingface.co/collections/aisak-ai/aisak-65ddeeb08d0978de6114702f", "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "The kraken has awakened!", "raw": "The kraken has awakened!", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "A Game-Changer in LLM Flexibility and Performance!", "raw": "A Game-Changer in LLM Flexibility and Performance!", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Over the past few weeks, VAGO solutions teamed up with Cognitive Computations and HyperSpace to develop a groundbreaking architecture that redefines flexibility in combining different LLM into one model.", "raw": "Over the past few weeks, VAGO solutions teamed up with Cognitive Computations and HyperSpace to develop a groundbreaking architecture that redefines flexibility in combining different LLM into one model.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "mention", "value": null, "raw": "@fernandofernandes", "resource": null, "url": null, "href": null, "user": "fernandofernandes", "lang": null, "code": null, "label": null }, { "type": "text", "value": " , me, ", "raw": " , me, ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "mention", "value": null, "raw": "@Crystalcareai", "resource": null, "url": null, "href": null, "user": "Crystalcareai", "lang": null, "code": null, "label": null }, { "type": "text", "value": " , ", "raw": " , ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "mention", "value": null, "raw": "@ehartford", "resource": null, "url": null, "href": null, "user": "ehartford", "lang": null, "code": null, "label": null }, { "type": "text", "value": " created the Kraken!", "raw": " created the Kraken!", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": " What Can It Do? 🐙 ", "raw": " What Can It Do? 🐙 ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "✅ Versatile Architecture: Kraken allows the seamless combination of LLMs with varying sizes, quantizations, and model architectures. It currently supports quantizations in 4-bit, 8-bit, and AWQ, with more on the way. And it runs on Hugging Face Transformers 4.40+", "raw": "✅ Versatile Architecture: Kraken allows the seamless combination of LLMs with varying sizes, quantizations, and model architectures. It currently supports quantizations in 4-bit, 8-bit, and AWQ, with more on the way. And it runs on Hugging Face Transformers 4.40+", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "✅ Kraken Router: Utilizing a custom sequence classification model with a context length of 32k tokens, The Kraken Router directs inputs to the most suitable Expert based on their characteristics.", "raw": "✅ Kraken Router: Utilizing a custom sequence classification model with a context length of 32k tokens, The Kraken Router directs inputs to the most suitable Expert based on their characteristics.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "✅ Adaptability: Enhanced input formatting supports the model’s adaptability to diverse conversational contexts.", "raw": "✅ Adaptability: Enhanced input formatting supports the model’s adaptability to diverse conversational contexts.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "✅ Extreme Versatility: Easily swap experts within Kraken for your specific use cases without retraining the entire model. For example, if you've built a Kraken for coding in Python you can upgrade your Python model without retraining the router or add a C# model by retraining the router.", "raw": "✅ Extreme Versatility: Easily swap experts within Kraken for your specific use cases without retraining the entire model. For example, if you've built a Kraken for coding in Python you can upgrade your Python model without retraining the router or add a C# model by retraining the router.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "✅ Open Source Pipeline: We’re sharing the entire pipeline, including router creation, training, architecture setup, and Kraken inference, on JupyterNotebooks: ", "raw": "✅ Open Source Pipeline: We’re sharing the entire pipeline, including router creation, training, architecture setup, and Kraken inference, on JupyterNotebooks: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://github.com/cognitivecomputations/kraken", "resource": null, "url": null, "href": "https://github.com/cognitivecomputations/kraken", "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Kraken marks the beginning of an exciting new journey in #OpenSource LLM. Why? Because it empowers the open source community in accelerating the catch-up process to proprietary LLMs like #GPT and #Claude 🤩", "raw": "Kraken marks the beginning of an exciting new journey in #OpenSource LLM. Why? Because it empowers the open source community in accelerating the catch-up process to proprietary LLMs like #GPT and #Claude 🤩", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "We proudly introduce the very first 2 Kraken models, that integrates top-tier LLM and Multilingual capabilities: ", "raw": "We proudly introduce the very first 2 Kraken models, that integrates top-tier LLM and Multilingual capabilities: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/cognitivecomputations/Kraken", "resource": { "type": "model", "id": "cognitivecomputations/Kraken", "discussionNum": null }, "url": "https://huggingface.co/cognitivecomputations/Kraken", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/VAGOsolutions/Kraken-Multilingual", "resource": { "type": "model", "id": "VAGOsolutions/Kraken-Multilingual", "discussionNum": null }, "url": "https://huggingface.co/VAGOsolutions/Kraken-Multilingual", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": " Right now it's supported by Hugging Face transformers library. Would love to see the integration into VLM and TGWI!", "raw": " Right now it's supported by Hugging Face transformers library. Would love to see the integration into VLM and TGWI!", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "we recently shipped fine-grained access tokens on Hugging Face Hub, which lets you create tokens with super specific permissions", "raw": "we recently shipped fine-grained access tokens on Hugging Face Hub, which lets you create tokens with super specific permissions", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "for instance, if you want to collaborate with an external organization you don't want to use your write token since they can access everything you can access. instead you can set token access to repositories under that org only like below ", "raw": "for instance, if you want to collaborate with an external organization you don't want to use your write token since they can access everything you can access. instead you can set token access to repositories under that org only like below ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "Thanks to the incredible collaboration of 14 community annotators, ", "raw": "Thanks to the incredible collaboration of 14 community annotators, ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "mention", "value": null, "raw": "@davanstrien", "resource": null, "url": null, "href": null, "user": "davanstrien", "lang": null, "code": null, "label": null }, { "type": "text", "value": " of HF and ", "raw": " of HF and ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "mention", "value": null, "raw": "@dvilasuero", "resource": null, "url": null, "href": null, "user": "dvilasuero", "lang": null, "code": null, "label": null }, { "type": "text", "value": " et. al of Argilla, DIBT (", "raw": " et. al of Argilla, DIBT (", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/DIBT", "resource": null, "url": null, "href": "https://huggingface.co/DIBT", "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": ") is pleased to make available a Russian-language dataset of 500 of the best curated LLM prompts translated to Russian and available for use: ", "raw": ") is pleased to make available a Russian-language dataset of 500 of the best curated LLM prompts translated to Russian and available for use: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/datasets/DIBT/MPEP_RUSSIAN", "resource": { "type": "dataset", "id": "DIBT/MPEP_RUSSIAN", "discussionNum": null }, "url": "https://huggingface.co/datasets/DIBT/MPEP_RUSSIAN", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": ".", "raw": ".", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "More to come from the MPEP initiative! Interested in annotating or leading a language team? ", "raw": "More to come from the MPEP initiative! Interested in annotating or leading a language team? ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://github.com/huggingface/data-is-better-together/tree/main/prompt_translation", "resource": null, "url": null, "href": "https://github.com/huggingface/data-is-better-together/tree/main/prompt_translation", "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "Excited to share a new project to make journalists’ lives easier when gathering information!", "raw": "Excited to share a new project to make journalists’ lives easier when gathering information!", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Collecting data like lists, URLs, etc., from websites is not always easy (and sometimes painful). Web scraping requires technical skills that only a handful of people in each newsroom have.", "raw": "Collecting data like lists, URLs, etc., from websites is not always easy (and sometimes painful). Web scraping requires technical skills that only a handful of people in each newsroom have.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "I recently stumbled upon ", "raw": "I recently stumbled upon ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "mention", "value": null, "raw": "@scrapegraphai", "resource": null, "url": null, "href": null, "user": "scrapegraphai", "lang": null, "code": null, "label": null }, { "type": "text", "value": ", a scraper that does the heavy lifting with AI for the user with a simple prompt in natural language. I asked them if they could integrate the Hugging Face Hub to use open-source models and created a no-code, easy-to-use interface on Gradio.", "raw": ", a scraper that does the heavy lifting with AI for the user with a simple prompt in natural language. I asked them if they could integrate the Hugging Face Hub to use open-source models and created a no-code, easy-to-use interface on Gradio.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "You can then save time and focus on storytelling!", "raw": "You can then save time and focus on storytelling!", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🔧 How It Works", "raw": "🔧 How It Works", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "1. Input Your Prompt and Source URL", "raw": "1. Input Your Prompt and Source URL", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "2. Click ‘Scrape and Summarize’", "raw": "2. Click ‘Scrape and Summarize’", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "3. Receive Summarized Results", "raw": "3. Receive Summarized Results", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "👩‍💻 Get Involved!", "raw": "👩‍💻 Get Involved!", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "This is just the first version of the tool, and it’s pretty basic. I’ve uploaded it to the Journalists on Hugging Face community so we can work together on it. Whether you’re a developer, a data scientist, or a journalist with ideas, you can contribute to this project.", "raw": "This is just the first version of the tool, and it’s pretty basic. I’ve uploaded it to the Journalists on Hugging Face community so we can work together on it. Whether you’re a developer, a data scientist, or a journalist with ideas, you can contribute to this project.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "You can also copy this app to your own account or organization to customize it to your needs.", "raw": "You can also copy this app to your own account or organization to customize it to your needs.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "👉 Test the scraper here: ", "raw": "👉 Test the scraper here: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/JournalistsonHF/ai-scraper", "resource": { "type": "space", "id": "JournalistsonHF/ai-scraper", "discussionNum": null }, "url": "https://huggingface.co/spaces/JournalistsonHF/ai-scraper", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "🤝 Join the Journalists on 🤗 community: ", "raw": "🤝 Join the Journalists on 🤗 community: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/JournalistsonHF", "resource": null, "url": null, "href": "https://huggingface.co/JournalistsonHF", "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "Journey With Me Into The Mind of Large Language Models: Interesting Findings in AnthropicAI's Scaling Monosemanticity paper.", "raw": "Journey With Me Into The Mind of Large Language Models: Interesting Findings in AnthropicAI's Scaling Monosemanticity paper.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "One of the many unknowns with LLMs is the why behind the responses they give - it's unclear why certain responses are chosen over others. Which shows how little we know of what's happening inside these models. ", "raw": "One of the many unknowns with LLMs is the why behind the responses they give - it's unclear why certain responses are chosen over others. Which shows how little we know of what's happening inside these models. ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "To have a deeper sense of this, they tried Sparse Dictionary Learning on a larger model (Claude 3 Sonnet) - wherein they match patterns of neuron activations (named Features) to human interpretable meanings.", "raw": "To have a deeper sense of this, they tried Sparse Dictionary Learning on a larger model (Claude 3 Sonnet) - wherein they match patterns of neuron activations (named Features) to human interpretable meanings.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Now Dictionary Learning is a traditional ml technique that identifies recurring patterns of neuron activations across various contexts. Meaning, any internal state of the model can be expressed as a combination of a few active features rather than numerous active neurons.", "raw": "Now Dictionary Learning is a traditional ml technique that identifies recurring patterns of neuron activations across various contexts. Meaning, any internal state of the model can be expressed as a combination of a few active features rather than numerous active neurons.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "They scaled up a more effective measure of dictionary learning using a Sparse Autoencoder (SAE). The SAE has an encoder that maps inputs to sparse high-dimensional features via linear transformation & ReLU, and a decoder that reconstructs inputs from those features.", "raw": "They scaled up a more effective measure of dictionary learning using a Sparse Autoencoder (SAE). The SAE has an encoder that maps inputs to sparse high-dimensional features via linear transformation & ReLU, and a decoder that reconstructs inputs from those features.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Three variants (of sizes: ~1M, ~4M & ~34M features) of the SAE were trained and across SAEs, <300 active features/token, >65% variance were explained. With dead features: ~2% for 1M, 35% for 4M, 65% for 34M SAE. Implying better training could reduce dead features.

Experiments were conducted with these SAEs where they were applied to residual stream activations (RSAs) at the model's middle layer (why? 1. RSAs are smaller than MLP layers = low compute cost, 2. helps tackle \"cross-layer superposition\" issues - when features are spread across multiple layers instead of being isolated in specific layers, causing interpretation difficulties). These experiments revealed that Scaling Laws can help guide training of these SAEs.", "raw": "Three variants (of sizes: ~1M, ~4M & ~34M features) of the SAE were trained and across SAEs, <300 active features/token, >65% variance were explained. With dead features: ~2% for 1M, 35% for 4M, 65% for 34M SAE. Implying better training could reduce dead features.

Experiments were conducted with these SAEs where they were applied to residual stream activations (RSAs) at the model's middle layer (why? 1. RSAs are smaller than MLP layers = low compute cost, 2. helps tackle \"cross-layer superposition\" issues - when features are spread across multiple layers instead of being isolated in specific layers, causing interpretation difficulties). These experiments revealed that Scaling Laws can help guide training of these SAEs.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "My favorite of course is the Basic Code Features - where the model attributed meaning to different code syntax elements similar to syntax highlighting in text editors.", "raw": "My favorite of course is the Basic Code Features - where the model attributed meaning to different code syntax elements similar to syntax highlighting in text editors.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "80% of fact-checked misinformation claims involve media, with a rise in AI-generated content in 2023, according to a new study, “A Large-Scale Survey and Dataset of Media-Based Misinformation In-The-Wild.” Worth a read for journalists, especially fact-checkers.", "raw": "80% of fact-checked misinformation claims involve media, with a rise in AI-generated content in 2023, according to a new study, “A Large-Scale Survey and Dataset of Media-Based Misinformation In-The-Wild.” Worth a read for journalists, especially fact-checkers.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "TL;DR:", "raw": "TL;DR:", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "• 📊 135,838 fact checks analyzed", "raw": "• 📊 135,838 fact checks analyzed", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "• 📸 80% of these claims involve media", "raw": "• 📸 80% of these claims involve media", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "• 🎥 Videos became more common starting in 2022, now more than 60% of fact-checked claims that include media", "raw": "• 🎥 Videos became more common starting in 2022, now more than 60% of fact-checked claims that include media", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "• 🤖 AI-generated content was rare until Spring of 2023, and then dramatically increased", "raw": "• 🤖 AI-generated content was rare until Spring of 2023, and then dramatically increased", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "• 🖼️ Image manipulations don’t require complex operations. Most of the time it’s context manipulations", "raw": "• 🖼️ Image manipulations don’t require complex operations. Most of the time it’s context manipulations", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "• Read the paper here: ", "raw": "• Read the paper here: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/papers/2405.11697", "resource": { "type": "paper", "id": "2405.11697", "discussionNum": null }, "url": "https://huggingface.co/papers/2405.11697", "href": null, "user": null, "lang": null, "code": null, "label": "AMMeBa: A Large-Scale Survey and Dataset of Media-Based Misinformation\n In-The-Wild (2405.11697)" }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "• Take a look at the dataset: ", "raw": "• Take a look at the dataset: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/datasets/academic-datasets/AMMeBa", "resource": { "type": "dataset", "id": "academic-datasets/AMMeBa", "discussionNum": null }, "url": "https://huggingface.co/datasets/academic-datasets/AMMeBa", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Thanks ", "raw": "Thanks ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "mention", "value": null, "raw": "@davanstrien", "resource": null, "url": null, "href": null, "user": "davanstrien", "lang": null, "code": null, "label": null }, { "type": "text", "value": " for spotting it!", "raw": " for spotting it!", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "My version of OpenAI's Sora just came out, try out it here ", "raw": "My version of OpenAI's Sora just came out, try out it here ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/Kvikontent/Openai-Sora", "resource": { "type": "space", "id": "Kvikontent/Openai-Sora", "discussionNum": null }, "url": "https://huggingface.co/spaces/Kvikontent/Openai-Sora", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "Made with ", "raw": "Made with ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/ali-vilab/text-to-video-ms-1.7b", "resource": { "type": "model", "id": "ali-vilab/text-to-video-ms-1.7b", "discussionNum": null }, "url": "https://huggingface.co/ali-vilab/text-to-video-ms-1.7b", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": ", so it isn't official sora", "raw": ", so it isn't official sora", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "Microsoft Just Launched 3 Powerful Models", "raw": "Microsoft Just Launched 3 Powerful Models", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "1. Phi 3 Medium (4k and 128k): A 14b Instruct tuned models that outperformed big models like Command R+ (104b), GPT 3.5 Pro, Gemini Pro, and is highly competitive with top models such as Mixtral 8x22b, Llama3 70B, and GPT 4.", "raw": "1. Phi 3 Medium (4k and 128k): A 14b Instruct tuned models that outperformed big models like Command R+ (104b), GPT 3.5 Pro, Gemini Pro, and is highly competitive with top models such as Mixtral 8x22b, Llama3 70B, and GPT 4.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/microsoft/Phi-3-medium-4k-instruct", "resource": { "type": "model", "id": "microsoft/Phi-3-medium-4k-instruct", "discussionNum": null }, "url": "https://huggingface.co/microsoft/Phi-3-medium-4k-instruct", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "DEMO: ", "raw": "DEMO: ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/spaces/Walmart-the-bag/Phi-3-Medium", "resource": null, "url": null, "href": "https://huggingface.co/spaces/Walmart-the-bag/Phi-3-Medium", "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "2. Phi 3 Mini Vision 128k: A 4.5 billion-parameter, instruction-tuned vision model that has outperformed models such as Llava3 and Claude 3, and is providing stiff competition to Gemini 1Pro Vision.", "raw": "2. Phi 3 Mini Vision 128k: A 4.5 billion-parameter, instruction-tuned vision model that has outperformed models such as Llava3 and Claude 3, and is providing stiff competition to Gemini 1Pro Vision.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/microsoft/Phi-3-vision-128k-instruct", "resource": { "type": "model", "id": "microsoft/Phi-3-vision-128k-instruct", "discussionNum": null }, "url": "https://huggingface.co/microsoft/Phi-3-vision-128k-instruct", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "3. Phi3 Small (8k and 128k): Better than Llama3 8b, Mixtral 8x7b and GPT 3.5 turbo.", "raw": "3. Phi3 Small (8k and 128k): Better than Llama3 8b, Mixtral 8x7b and GPT 3.5 turbo.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/microsoft/Phi-3-small-128k-instruct", "resource": { "type": "model", "id": "microsoft/Phi-3-small-128k-instruct", "discussionNum": null }, "url": "https://huggingface.co/microsoft/Phi-3-small-128k-instruct", "href": null, "user": null, "lang": null, "code": null, "label": null } ]

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[ { "type": "text", "value": "whaaaaaat!?", "raw": "whaaaaaat!?", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "posts on hf LFG...", "raw": "posts on hf LFG...", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "my name's kev", "raw": "my name's kev", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "and i'm building things with musicgen right now with one simple idea:", "raw": "and i'm building things with musicgen right now with one simple idea:", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "removing the text from ai music. musicgen specifically, is more like a little musician itself than other models, and musicians shouldn't have to describe what they want from each other. they jam. ", "raw": "removing the text from ai music. musicgen specifically, is more like a little musician itself than other models, and musicians shouldn't have to describe what they want from each other. they jam. ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "using your audio as input, gary comes in with the fills. ", "raw": "using your audio as input, gary comes in with the fills. ", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "suddenly, you got yourself a lil jam buddy.", "raw": "suddenly, you got yourself a lil jam buddy.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "max4live device and chrome extension coming, but on hf you can already play with a version that has dope UX thanks to gradio, and is free thanks to zero-gpu-explorers.", "raw": "max4live device and chrome extension coming, but on hf you can already play with a version that has dope UX thanks to gradio, and is free thanks to zero-gpu-explorers.", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/thepatch/zero-gpu-slot-machine", "resource": { "type": "space", "id": "thepatch/zero-gpu-slot-machine", "discussionNum": null }, "url": "https://huggingface.co/spaces/thepatch/zero-gpu-slot-machine", "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "text", "value": "midi2musicgen so you can begin from a starting point of chords/melody", "raw": "midi2musicgen so you can begin from a starting point of chords/melody", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": null, "code": null, "label": null }, { "type": "new_line", "value": null, "raw": "\n", "resource": null, "url": null, "href": null, "user": null, "lang": 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