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https://github.com/arjuntheprogrammer/llm_with_rlhf


https://github.com/arjuntheprogrammer/llm_with_rlhf

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README

          

# REINFORCEMENT LEARNING FROM HUMAN FEEDBACK

A conceptual and hands-on introduction to tuning and evaluating large language models (LLMs) using Reinforcement Learning from Human Feedback.

- Get a conceptual understanding of Reinforcement Learning from Human Feedback (RLHF), as well as the datasets needed for this technique
- Fine-tune the Llama 2 model using RLHF with the open source Google Cloud Pipeline Components Library
- Evaluate tuned model performance against the base model with evaluation methods

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## INDEX

1. How does RLHF Works
2. Datasets for RL Training
3. Tune an LLM with RLHF
4. Evaluate the tuned model

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## COURSE LINK

https://learn.deeplearning.ai/courses/reinforcement-learning-from-human-feedback

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