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.
Authors
- Ellen E. Meade
- Wendy E. Dunn
- Nitish Ranjan Sinha (ORCID: https://orcid.org/0000-0002-8508-5634)
- Raakin Kabir
Institutions
- Federal Reserve (US)
- Duke University (US)
- Federal Reserve Board of Governors (US)
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