
Using Large Language Models in Classification Tasks: A Case Study in Credit Risk Modeling-- My Failed Attempt #1
With the advancement of large language models, I am curious about their implications for the industry practice of classification tasks, where traditional models like logistic regression and tree-based models currently dominate.
The data I used comes from Kaggle, specifically from a competition organised by Home Credit, a prominent player in