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AI & Machine Learning · Intermediate

In-Context Learning (ICL)

A model's ability to learn a task from instructions and examples in the prompt without weight updates.

Definition

In-context learning is temporary: the knowledge lasts only for that request. It underpins zero-, one- and few-shot prompting and RAG.

Exam tip

In-context learning changes no weights; fine-tuning does.

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