clam004/minichatgpt
annotated tutorial of the huggingface TRL repo for reinforcement learning from human feedback connecting equations from PPO and GAE to the lines of code in the pytorch implementation
This project helps machine learning engineers understand how to train language models to complete sentences with a desired sentiment, similar to how ChatGPT learns. It takes in a base language model and scores assigned to its generated text, then outputs a refined model capable of producing text aligned with those scores. This is for AI/ML practitioners looking to implement reinforcement learning from human feedback (RLHF) for text generation tasks.
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Use this if you are a machine learning engineer or researcher trying to understand the practical implementation of Reinforcement Learning from Human Feedback (RLHF) for training generative language models.
Not ideal if you are looking for a plug-and-play solution to deploy a chatbot or if you do not have a strong background in machine learning and deep learning concepts.
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Apr 04, 2025
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