What is few-shot learning?

Few-shot learning is when you give an AI model a handful of examples of a task within your request, so it can follow the pattern without any retraining. By showing two or three examples of the input and desired output, you guide the model toward the format and style you want. It is a quick, practical way to steer a model when you lack a large dataset.