Ben Prystawski

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.