Research2h ago
Research
Classifier Trained On LLM Output
A developer trained a logistic regression and SVM classifier using labels generated by an LLM. This approach uses high-capacity models to create synthetic training data for smaller, faster classifiers. It demonstrates a practical pipeline for distilling LLM reasoning into lightweight models. Practitioners can use this to reduce inference costs while maintaining high classification accuracy.