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Ben Prystawski

PhD student at Stanford University working at the intersection of cognitive science and machine learning. Research focuses on LLM reasoning and cultural learning.

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Feb 26, 2024 • 25min

Training Data Locality and Chain-of-Thought Reasoning in LLMs with Ben Prystawski - #673

Ben Prystawski, a PhD student at Stanford blending cognitive science with machine learning, unveils fascinating insights on LLM reasoning. He discusses his recent paper that questions if reasoning exists in LLMs and the effectiveness of chain-of-thought strategies. Delve into how locality in training data fuels reasoning capabilities, and explore the nuances of optimizing prompts for better model performance. The conversation also touches on how our human experiences shape reasoning, enhancing comprehension in artificial intelligence.