Expert Advice on Leveraging Large Language Models and Generative AI in Economic History Research
| Source: National Bureau of Economic Research | Original article
Large language models are expanding access to new data sources in economic history. They simplify analysis of handwritten and visual records.
A new guide is available for researchers in economic history, focusing on the use of large language models (LLMs) and generative AI. This guide, written by Andreas Ferrara, aims to lower the entry barriers to working with diverse data sources, such as handwritten ledgers, text, images, and sound recordings, which previously required strong data science skills.
The guide matters because economic history is a data-intensive field that can greatly benefit from the capabilities of LLMs and generative AI. By providing a step-by-step workflow, the guide enables researchers to turn their ideas into working code and data, making it easier for them to explore new research avenues.
As researchers begin to utilize this guide, it will be interesting to watch how the field of economic history evolves with the adoption of LLMs and generative AI. The potential for new insights and discoveries is significant, and this guide may pave the way for a new wave of research in the field.
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