Using Generative AI Models to Understand FOMC Monetary Policy Discussions

Wendy E. Dunn, Raakin Kabir, Ellen Meade and Nitish R. Sinha
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Wendy E. Dunn: https://www.federalreserve.gov/econres/wendy-e-dunn.htm
Nitish R. Sinha: https://www.federalreserve.gov/econres/nitish-r-sinha.htm

No 2024-12-06-1, FEDS Notes from Board of Governors of the Federal Reserve System (U.S.)

Abstract: In an era increasingly shaped by artificial intelligence (AI), the public’s understanding of economic policy may be filtered through the lens of generative AI models (also called large language models or LLMs). Generative AI models offer the promise of quickly ingesting and interpreting large amounts of textual information.

Date: 2024-12-06
New Economics Papers: this item is included in nep-ain, nep-big, nep-cba, nep-cmp and nep-mon
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Persistent link: https://EconPapers.repec.org/RePEc:fip:fedgfn:2024-12-06-1

DOI: 10.17016/2380-7172.3678

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