Build a local dashboard for indexing and labeling
Wrap indexing, labeling, threshold tuning and export in one local browser page, and handle the threading traps that come with it.
teach
Making models do what you want
Correct a model that is close but wrong, without a training run or a GPU bill.
Correction loops, fine-tuning vs classifiers on embeddings, when a solver beats a model.
2 guides
Teach it what you want with a correction loop
Fit a classifier on frozen embeddings in about a second, correct the cases it is least sure about, and know when to stop.