In-Context Learning

Also known as: ICL

In-context learning is the ability of LLMs to adapt to a task from examples or instructions inside the prompt, without updating weights.

Zero-shot, one-shot, and few-shot prompting are forms of ICL. It is powerful but brittle: example order, format, and wording can swing accuracy.

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