Using Generative AI Models to Understand FOMC Monetary Policy Discussions

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.

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Publication Details

Journal
FEDS Notes
Published
2024-12-01
DOI
https://doi.org/10.17016/2380-7172.3678
Citations
3
Primary Topic
Stock Market Forecasting Methods
Type
article
Field-Weighted Citation Impact
1.47
Controls
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article

Using Generative AI Models to Understand FOMC Monetary Policy Discussions

Ellen E. Meade, Wendy E. Dunn, Nitish Ranjan Sinha, Raakin Kabir
3 citations
FEDS Notes
Stock Market Forecasting Methods
1.47
article

Using Generative AI Models to Understand FOMC Monetary Policy Discussions

Ellen E. Meade, Wendy E. Dunn, Nitish Ranjan Sinha, Raakin Kabir
article en
3 citations

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.

FEDS Notes(2024-12-06-1)
Federal Reserve (US), Duke University (US), Federal Reserve Board of Governors (US)
Decent work and economic growth
Openalex Percentile: Top 15%
Stock Market Forecasting Methods
1.47
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