The article discusses the potential of Large Language Models (LLMs) to extract relevant insights from vast amounts of data. The authors propose a new evaluation methodology based on a ‘capture the flag’ principle to measure the ability of these models to recognize meaningful information in a dataset. Two proof-of-concept agents are proposed and compared for their ability to capture such ‘flags’ in a real-world sales dataset. The authors envision autonomous data-science agents capable of extracting insights and interpreting them within context, enabling individuals with low data-science expertise to make the most out of their data.
Publication date: 21 Dec 2023
Project Page: https://arxiv.org/abs/2312.13876
Paper: https://arxiv.org/pdf/2312.13876
