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In this 27-minute conference talk from DSC EUROPE 24, Arsenii Shkunkov examines the fundamental reasoning capabilities of Large Language Models (LLMs), questioning whether their performance stems from genuine reasoning or merely sophisticated pattern-matching and memorization. Dive into a thorough analysis of how LLMs interpret, process, and generate information, with clear explanations of their underlying mechanisms. Understand the current boundaries of what these models can accomplish and their limitations in reasoning tasks. Gain valuable insights into practical applications of LLMs and their potential trajectory in advancing AI reasoning capabilities. The presentation, delivered on November 20th in Belgrade, offers a nuanced perspective on how these models function within the broader AI ecosystem and what their capabilities reveal about artificial intelligence development.
