jayantshivnarayana
1 post
Sep 26, 2025
3:04 AM
|
Reinforcement Learning from Human Feedback (RLHF) is a method that teaches AI models to improve using human input. After the model is initially trained on large datasets, humans evaluate its outputs, scoring them for quality, relevance, or safety. These scores are transformed into reward signals that guide the model’s learning through reinforcement learning. RLHF is commonly used in chatbots, large language models, and AI content moderation tools. By integrating human judgment, RLHF ensures AI systems produce more accurate, safe, and user-friendly results that reflect real-world expectations and align closely with human values.
|
