What Are The Limitations of the RLHF Model?

Welcome to episode 147 of the Eye on AI podcast. In this episode, host Craig Smith sits down with Yilun Du, a final year PhD student at MIT EECS with a background in research at leading institutions like OpenAI, FAIR, and Google Deepmind. Yilun's extensive expertise spans generative models, decision making, robot learning, and embodied agents, making him a valuable voice in the AI domain. In this video, our conversation kicks off into a deep dive into Reinforcement Learning with AI feedback (RLHF) - its history, inception, and challenges. We then touch upon the effectiveness of RLHF, the intriguing concept of multi-agent debate, and the PAPES procedure. Tune in for an enlightening episode that traverses the intricacies of AI, its nuances, and the future of robotics.