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Reinforcement Learning from Human Feedback(RLHF)
Definition
A training technique that uses human preferences to fine-tune AI models to be more helpful, harmless, and honest.In-Depth Explanation
RLHF involves collecting human comparisons of model outputs, training a reward model on these preferences, and using RL to optimize the language model. This process has been crucial for making LLMs like ChatGPT and Claude safer and more aligned with human values.
Real-World Example
ChatGPT was trained with RLHF, using human feedback to make responses more helpful and appropriate.
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