Reinforcement Learning from Human Feedback (RLHF) is a training technique that improves AI models using human preference ratings to encourage more helpful, accurate, and safer responses.
Many enterprise Voice AI solutions rely on models trained with RLHF to improve conversation quality, reduce harmful outputs, and deliver more natural, customer-friendly interactions.