Reward Model

What is Reinforcement Learning from Human Feedback (RLHF)? A technique to improve AI models using human feedback to guide learning. Builds on reinforcement learning, where AI learns by trial and error to achieve goals. Uses human opinions to determine good or bad outputs, enhancing traditional reward systems. How RLHF Works Data Collection: AI generates multiple outputs (e.g., answers or text snippets). Humans provide feedback by ranking or comparing outputs (e.g., which is better or more helpful). Supervised Fine-Tuning: Model is trained with human feedback to produce preferred outputs. Establishes a baseline for good responses. Building a Reward Model: Creates a [...]