In-Context Learning

In-Context Learning (ICL) refers to the process where the model learns from the context provided in the prompt itself. It doesn't require explicit fine-tuning or training on a specific task. Instead, it uses the information given in the prompt to generate appropriate responses.

Synonyms:

ICL, Few-shot Prompting

Papers published in this field over the years:

Hierarchy

Publications for In-Context Learning

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Researchers for In-Context Learning

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