RLHF from Scratch: Hands-on Tutorial and Code Examples for Reinforcement Learning with Human Feedback
By
onurkanbkrc
All dough, no crust. Filling but forgettable.
Summary
This is a GitHub repository providing a hands-on tutorial and minimal code examples for implementing Reinforcement Learning with Human Feedback (RLHF) from scratch. The repository focuses on teaching the main steps of RLHF with compact, readable code rather than providing a production system. It includes a simple PPO training loop for updating language model policies, helper routines for rollout processing and advantage computation, CLI argument parsing, and a tutorial notebook that ties theory, small experiments, and examples together.
Key quotes
· 5 pulledHands-on RLHF tutorial and minimal code examples.
This repo is focused on teaching the main steps of RLHF with compact, readable code rather than providing a production system.
A theoretical and practical deep dive into Reinforcement Learning with Human Feedback and it's applications in Large Language Models from scratch.
tutorial.ipynb — the notebook that ties the pieces together (theory, small experiments, and examples)
What the code implements (short)
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