Reinforcement Learning from Human Feedback (RLHF) — AI Glossary

Reinforcement learning from human feedback (RLHF) is a training method where human evaluators rank or score multiple AI outputs, and those preferences are used to train a reward model that further fine-tunes the language model. RLHF bridges the gap between what a model can generate and what humans actually find helpful, harmless, and honest, making it a cornerstone of modern AI alignment.