Llama 2: Open Foundation and Fine-Tuned Chat Models
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2307.09288
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242
catchup readings
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Large-Scale Automatic Audiobook Creation
Paper • 2309.03926 • Published • 53 -
From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting
Paper • 2309.04269 • Published • 32 -
Textbooks Are All You Need II: phi-1.5 technical report
Paper • 2309.05463 • Published • 87 -
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
Paper • 2309.08532 • Published • 52 -
Agents: An Open-source Framework for Autonomous Language Agents
Paper • 2309.07870 • Published • 41 -
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
Paper • 2307.16789 • Published • 98 -
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback
Paper • 2307.15217 • Published • 36 -
How is ChatGPT's behavior changing over time?
Paper • 2307.09009 • Published • 23 -
Retentive Network: A Successor to Transformer for Large Language Models
Paper • 2307.08621 • Published • 170 -
Secrets of RLHF in Large Language Models Part I: PPO
Paper • 2307.04964 • Published • 28 -
LongNet: Scaling Transformers to 1,000,000,000 Tokens
Paper • 2307.02486 • Published • 80 -
ChessGPT: Bridging Policy Learning and Language Modeling
Paper • 2306.09200 • Published • 9 -
QLoRA: Efficient Finetuning of Quantized LLMs
Paper • 2305.14314 • Published • 45