Summary:
- This article discusses the use of Large Language Models (LLMs) to analyze Federal Election Commission (FEC) filings, which are public records of campaign finance information.
- The article explains how LLMs can be used to extract and interpret the data in these filings, providing insights into the funding sources and spending patterns of political campaigns.
- The article highlights the potential benefits of this technology, such as increased transparency and accountability in the political process, as well as the challenges and ethical considerations involved in using AI to analyze sensitive data.