John Schulman - Reinforcement Learning from Human Feedback: Progress and Challenges

UC Berkeley EECSLength: 1 hour 3 minutesMachine learning & deep learning

In brief

UC Berkeley EECS colloquium by OpenAI's John Schulman on reinforcement learning from human feedback. He covers why RL helps with truthfulness, hallucination, and the limits of behavior cloning.