Cheaper LLM labelling
Summary
A technical blog post exploring a hybrid labeling workflow that uses a fast, Logistic Regression-based classifier in front of an expensive LLM to label git commits as 'maintenance' or 'new development'. It covers implementation in Perl, a prompting template, calibration techniques (Platt scaling), and observed speed gains from offloading easy cases to the fast classifier.