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Subbarao Kambhampati: Planning, Reasoning, and Interpretability in the Age of LLMs

The Gradient: Perspectives on AI

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Computational Complexity and Planning in LLMs

This chapter explores the concept of computational complexity in the context of Large Language Models (LLMs). It discusses how LLMs are not good at planning and lack robust reasoning abilities. The chapter emphasizes the importance of external verification and human guidance to improve the accuracy of LLMs.

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