Reinforcement Learning from Human Feedback (RLHF) combines traditional reinforcement learning with human input, enhancing machine learning by leveraging valuable human guidance, feedback, or demonstrations. It bridges the gap between human expertise and AI systems, improving learning and decision-making in complex environments.