Searching for signal: using LLMs in economic research and market intelligence

Get an inside look at data science at the Federal Reserve Bank of NY and hear how LLMs can be used to measure proxies relevant to research, such as sentiment Federal Reserve transparency. Mark Vandergon covers key research findings from a recent paper including lessons on consistency, rigor, reducing subjectivity, and bridging data science with economic frameworks through cross-functional collaboration.

Mark Vandergon
Lead Data Scientist
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Federal Reserve Bank of NY