Multiple Choice Flashcards

Create a representative labeled dataset with clear category definitions and quality checks. Delete rare categories so every class has the same number of examples. Use production predictions as labels before the first model exists. Train only on the unlabeled transcripts and assume the model will discover the exact 12 categories.