Few-Shot Learning

Few-shot learning provides a model with a limited set of demonstrations before asking it to complete a similar task. Each example shows the expected relationship between input and output.

It is useful when task instructions are difficult to express precisely. Carefully selected examples can improve formatting, tone, classification accuracy and reasoning behaviour.