Optimization in AI
Exploring the intricacies of optimization in AI, Yann discusses the process of transforming prompts into abstract representations and refining these through gradient descent. The conversation highlights the inefficiencies of discrete optimization in generating answers and advocates for a continuous approach that enhances reasoning capabilities. The potential for independent language expression further emphasizes the importance of working within a conceptual space rather than relying solely on sensory information.In this clip
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Lex Fridman Podcast
Yann Lecun: Meta AI, Open Source, Limits of LLMs, AGI & the Future of AI | Lex Fridman Podcast #416
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