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In recent years, large language models have greatly improved in their ability to perform complex multi-step reasoning. However, even state-of-the-art models still regularly make logical mistakes.

In this talk Karl Cobbe, Research Scientist at OpenAI will discuss how to use step-by-step feedback to address these failures and train models that are more reliable at mathematical reasoning.

Artificial Intelligence
Deep Learning
Machine Learning
Data Science

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