Research2h ago
Research
Classifier Trained On LLM Output
A developer trained a logistic regression and SVM classifier using outputs generated by an LLM. This approach uses high-capacity models to label data for smaller, more efficient statistical classifiers. It demonstrates a practical pipeline for distilling complex LLM reasoning into lightweight models. Practitioners can use this method to reduce inference costs for simple classification tasks.