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Machine Learning Glossary

Few-shot Learning

Guiding a model with a small number of examples in the prompt before asking it to complete a task.

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Few-shot learning provides a handful of input-output examples so the model can infer the expected pattern. It is one of the most effective prompt techniques, especially for formatting, classification and extraction tasks. The examples act like a short demonstration, and usually three to five well-chosen cases make a noticeable difference.

Related terms

Zero-shot Learning

Asking a model to perform a task it was not explicitly trained on, using only a description of the task.

Prompt Engineering

The practice of designing instructions and context so a model produces accurate, useful output.

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