To what extent are we responsible for our content and how to create safer Spaces?
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David Berenstein
davidberenstein1957
AI & ML interests
Everything NLP and knowledge graphs
Articles
Organizations
Posts
16
Post
1586
🦀 Is your SQL a bit rusty? I just created theText To SQL Hub dataset explorer. To write SQL queries based on natural text input. Uses DuckDB, Llama 3.1 70B and the Hugging Face dataset-server API.
davidberenstein1957/text-to-sql-hub-datasets
davidberenstein1957/text-to-sql-hub-datasets
Post
1310
Distilabel and synthetic data community interviews - the outcomes
We've been doing some interview with community members to understand the needs surrounding synthetic data. Many thanks to the participants. Note that, given they interviewees were sourced from our community, so the results will likely represent that.
Things distilabel does well
- security and reliability by caching generations and having serializable pipelines.
- scaling up generation by parallelising inference and Anyscale Ray
- solid implementations of state of the art research papers
Things to improve
- communication about the fact we support structured generation
- customization of existing prompt implementations are difficult
- creation of new tasks prove difficult
- arguments and parameters for tasks aren't available at first glance
- the learning curve can be steep
- more tutorials that represent real-life usage
Things to note
- create small scale and large scale dataset to Millions of records
- people use synthetic data to move away from frontier model providers
- people mostly use 7B or 70B models for generating
Participate here: https://github.com/argilla-io/distilabel/issues
We've been doing some interview with community members to understand the needs surrounding synthetic data. Many thanks to the participants. Note that, given they interviewees were sourced from our community, so the results will likely represent that.
Things distilabel does well
- security and reliability by caching generations and having serializable pipelines.
- scaling up generation by parallelising inference and Anyscale Ray
- solid implementations of state of the art research papers
Things to improve
- communication about the fact we support structured generation
- customization of existing prompt implementations are difficult
- creation of new tasks prove difficult
- arguments and parameters for tasks aren't available at first glance
- the learning curve can be steep
- more tutorials that represent real-life usage
Things to note
- create small scale and large scale dataset to Millions of records
- people use synthetic data to move away from frontier model providers
- people mostly use 7B or 70B models for generating
Participate here: https://github.com/argilla-io/distilabel/issues
spaces
12
pinned
Running
13
🐥 🦙 🤗
Text To SQL Hub Datasets
pinned
Sleeping
🙌
Gradio Annotator - Text Classification Multi Label
pinned
Running
on
Zero
5
🦾💪🏽
Human Feedback Collector | Meta-Llama-3.1-8B-Instruct | (KTO)
LLM, chatbot, human-feedback
pinned
Running
on
Zero
11
🦾💪🏽
Human Feedback Collector | Meta-Llama-3.1-8B-Instruct | (DPO)
LLM, chatbot, human-feedback
Sleeping
1
🧹 🧼 🗑️
Hub Repo Cleaner
No application file
1
👀
Prompt To Model
models
4
davidberenstein1957/ultra-feedback-dutch-cleaned-hq-spin-geitje-7b-ultra-sft_iter2
Text Generation
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davidberenstein1957/ultra-feedback-dutch-cleaned-hq-spin-geitje-7b-ultra-sft_iter1
Text Generation
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davidberenstein1957/ultra-feedback-dutch-cleaned-hq-spin-geitje-7b-ultra-sft_iter0
Text Generation
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6
davidberenstein1957/phi-2-distilabeled-intel-orca-dpo
Updated
datasets
16
davidberenstein1957/llm-human-feedback-collector-chat-interface-kto
Preview
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2
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davidberenstein1957/llm-human-feedback-collector-chat-interface-dpo
Preview
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davidberenstein1957/image-generation-flux1-schnell
Viewer
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15
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davidberenstein1957/dataset-viber-chat-generation-preference-inference-endpoints-battle
Viewer
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6
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davidberenstein1957/dataset-viber-image-generation-preference-inference-endpoints-battle-flux
Viewer
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11
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davidberenstein1957/naturally_occurring_feedback_per_loading_mode
Viewer
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524k
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davidberenstein1957/rag-embeddings-relevance-similarity
Viewer
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3.25k
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davidberenstein1957/report-translation-feedback
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davidberenstein1957/ultra-feedback-dutch-cleaned-hq_iter2
Viewer
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21.6k
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davidberenstein1957/ultra-feedback-dutch-cleaned-hq_iter2_no_format
Viewer
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21.6k
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