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RLHF from Scratch
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Overview
The GitHub repository "ashworks1706/rlhf-from-scratch" provides a hands-on tutorial on Reinforcement Learning with Human Feedback (RLHF) and its applications in Large Language Models. It includes a simple Proximal Policy Optimization (PPO) training loop, helper routines for processing and reward computation, and a Jupyter notebook for experimentation.
Summary from github.com.
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github.com
RLHF from Scratch
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