Few-shot learning — Few-shot learning is giving a model a small number of examples in the prompt to show what kind of answer is wanted. Two or three examples often improve accuracy and formatting a great deal. The model learns the pattern on the spot, without retraining. It is one of the simplest prompt engineering techniques.

Added October 21, 2026