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Research: Learning Athletic Humanoid Tennis Skills from Imperfect Human Motion Data
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Dario Amodei on AI Scaling, Economic Diffusion, and the End of Exponential Growth
Theoretical Perspective on Continuous Chain of Thoughts in Reasoning
Large Language Models (LLMs) have shown impressive performance in reasoning tasks using chain-of-thoughts (CoTs) techniques. This article explores the theoretical perspective on continuous CoTs and their superiority over discrete tokens in solving reasoning problems like directed graph reachability.
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