Reinforcement Learning from Human Feedback (RLHF)

A technique where AI agents are trained using human-provided feedback to improve their decision-making.

Instead of relying solely on a reward system, the agent learns to optimize its actions based on human preferences and guidance.

RLHF is crucial for aligning AI behaviors with human values, making the agent more useful in real-world applications like conversational AI or content moderation.