Reinforcement learning from human feedback (RLHF) (also referred to as reinforcement learning only) is a machine learning algorithm -technique in which a 'reward model' is trained with direct human feedback. By qualifying certain outcomes as 'better' than other outcomes, the performance of a artificial intelligence-agent or an LLM are optimized.
See also LLM