Shypd.aiThe largest open index of AI toolsrlhf-book is a Research & Education tool that provides a comprehensive guide to Reinforcement Learning from Human Feedback (RLHF). It includes reference implementations for various RLHF algorithms and detailed book source files.
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rlhf-book offers a comprehensive guide to Reinforcement Learning from Human Feedback (RLHF), along with a broad introduction to post-training language models. This open-source project aims to document and curate knowledge from the frontier of open models, particularly in the post-ChatGPT era. It provides canonical references for established methods like rejection sampling and explores industry practices for 'Character Training.' The resource includes code for policy gradient methods (PPO, REINFORCE), reward model training, direct alignment methods (DPO), and rejection sampling. It also features detailed book source files and diagrams, making it a valuable learning resource for those interested in the fundamentals of RLHF.
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