Optimism in RLHF
Scott shares his optimistic perspective on the potential of Reinforcement Learning from Human Feedback (RLHF) to address challenges in large language models. He emphasizes the importance of open-minded experimentation in the field and draws parallels between language learning and child development, suggesting that language encodes deeper meanings and world models. The discussion highlights the unexpected emergent properties of these models, showcasing the excitement and curiosity within the AI community.In this clip
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Eye on AI
Navigating the Language of AI & Large Language Models | Scott Downes
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