Source: MIT Technology Review
Summary
Researchers have developed a method to convert qualitative reports into quantitative data using a large language model (LLM). The approach aims to address data scarcity issues in various fields. The LLM is trained on a dataset of paired qualitative and quantitative data, allowing it to learn the relationships between the two. The model can then be used to generate quantitative data from new qualitative reports. According to the researchers, this method can be applied to various domains, including social sciences and healthcare.
Our Reading
The launch follows a familiar script.
A new way to solve an old problem, because what we really needed was another AI-powered solution. The LLM is touted as a game-changer for data scarcity, but isn’t this just a fancy way of saying “we’re using AI to make educated guesses”? The method relies on training data, which is often biased or incomplete. And what about the quality of the qualitative reports being converted? Sounds like a recipe for garbage in, garbage out.
Author: Evan Null
