Glossary · Prompting & context

Few-Shot

In-context learning that includes a small set of demonstrations before the target input so the model can infer the desired task, format, or decision boundary.

Why it matters

Example quality and coverage matter more than a universal example count. Poor or contradictory demonstrations can reduce reliability.

Related terms

Zero-Shot
In-Context Learning
Prompt Engineering
Context Window

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