ai
RLHF
Reinforcement Learning from Human Feedback
Definition
RLHF is a training methodology that uses human preference judgments to align language model behavior with human values. Human annotators compare model outputs and rank them, training a reward model on these preferences.
The language model is then fine-tuned with PPO to maximize the reward model's score. RLHF was key to creating ChatGPT-style helpful, harmless, and honest assistants.
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