RLHF is used to align language models with human values and preferences. Human evaluators rank model outputs, and these rankings train a reward model. The language model is then fine-tuned using reinforcement learning to maximize this reward. RLHF is a key reason why modern chatbots like ChatGPT and Claude are helpful, honest, and harmless.
RLHF (Reinforcement Learning from Human Feedback)
A training technique that uses human preferences to fine-tune AI models for more helpful and safe outputs.
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