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Challenges with Large Language Models in Problem Solving
This chapter explores the limitations of using Large Language Models (LLMs) in competitions, emphasizing the importance of reasoning over memorization in truly intelligent problem-solving scenarios. The discussion highlights how LLMs struggle to adapt and generate new solutions on the fly, exposing the difference between mere pattern recognition and genuine reasoning abilities.