Research3h ago
Research
Classifier Trained On LLM Output
A developer trained a logistic regression and SVM classifier using data generated by large language models. This approach uses LLMs as synthetic labelers to categorize comments. It demonstrates a simple pipeline for bootstrapping supervised learning when manual labels are scarce. Practitioners can use this to rapidly prototype niche classifiers without extensive human annotation.