Active Prompting — AI Glossary

Active prompting is an adaptive approach to few-shot example selection that borrows from active learning. Rather than picking demonstrations at random or by surface similarity, the method runs the model on a pool of unlabeled examples, measures uncertainty — often as the variance of answers across temperature-sampled runs — and selects the most uncertain examples for human annotation.