OpenAI has released RL-Teacher, an open-source tool designed to train AI models using human feedback instead of predefined reward functions. This approach, developed with AI safety in mind, involves a reward predictor that learns human preferences and can be integrated into various AI agents. The system includes a web application for humans to provide feedback, which is then used to train the predictor, and is implemented in under 1,000 lines of Python code. AI
Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →
RANK_REASON Open-source release of a tool for training AI models using human feedback.