Few-shot learning provides the model with a small number of examples (shots) in the prompt to guide its behavior. For instance, giving 2-3 examples of a desired output format before asking the model to produce similar output. This is one of the most practical prompt engineering techniques and works without any model retraining.
Few-Shot Learning
A technique where an AI model learns to perform a task from only a few examples provided in the prompt.
