Reinforcement learning from human feedback (RLHF) — Reinforcement learning from human feedback is a training method in which people rate or compare model responses, and the model learns to produce the kinds of answers people prefer. It improves helpfulness, tone, and safety. It played a major role in making chatbots useful to the public. It can also introduce problems such as excessive agreement with users.

Added October 21, 2026