
#416 – Yann Lecun: Meta AI, Open Source, Limits of LLMs, AGI & the Future of AI
Lex Fridman Podcast
Optimizing Dialogue Systems
This chapter explores the complexities in optimizing dialogue systems using energy-based models and their abstract representations. It covers the significance of planning responses, the optimization processes within neural networks, and the challenges of generative models. The discussion further highlights the interaction of reinforcement learning with world models and the integration of human feedback to enhance the performance of large language models.
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