lucidrains/PaLM-rlhf-pytorch
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
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README & documentation
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official chatgpt blogpost Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Maybe I'll add retrieval functionality too, à la RETRO If you are interested in replicating something like ChatGPT out in the open, please consider joining Laion Potential successor: Direct Preference Optimization - all the code in this repo becomes binary cross entropy loss, < 5 loc. So much for Reward models and PPO There is no trained model. This is just the ship and overall map. We still need millions of dollars of compute + data to sail to the correct point in high dimensional parameter space. Even then, you need professional sailors (like Robin Rombach of Stable Diffusion fame) to actually guide the ship through turbulent times to that point. CarperAI had been working on an RLHF framework for large language models for many…
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What this repository does
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
Repository facts
- Owner
- lucidrains
- Primary language
- Python
- Stars
- 7,863
- Forks
- 669
- Open issues + pull requests
- 20
- License
- MIT
- Archived
- No
- Default branch
- main
- Created
- 2022-12-09T17:53:46.000Z
- Last push
- 2026-09-20T15:27:21.000Z
Topics and intended use
Owner-supplied topics: artificial-intelligence, attention-mechanisms, deep-learning, human-feedback, reinforcement-learning, transformers
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Source and freshness
Source: GitHub. Metadata observed 2026-11-01T13:20:54.848Z. Daily imports are snapshots, not real-time monitoring.
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