AI can learn to show its workings through trial and error

Daphne Ippolito () and Yiming Zhang ()

Nature, 2025, vol. 645, issue 8081, 594-595

Abstract: Large language models (LLMs) are more accurate when they output intermediate steps. A strategy called reinforcement can teach them to do this without being told.

Keywords: Machine learning; Computer science (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1038/d41586-025-02703-7

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