In-Context Learning

A model performing a task from examples in the prompt, with no weight update.

concept Prompting 3 relationships

Aperçu

In-context learning is a model's ability to infer a task from examples supplied in the prompt and apply it to a new input, without any parameter change. It solves the problem that training a model per task is expensive when most tasks can be demonstrated in a paragraph. It exists because it emerged from scale rather than being designed: the capability appeared in large models that were never trained for it.

Graphe des technologies

Comment In-Context Learning se rattache au reste de la pile.

Utilise et dépend de

LLM concept Models In-Context Learning based on LLM High ✓ source

Appliqué à

Prompt Engineering technique Prompting In-Context Learning used for Prompt Engineering High ✓ source

Outils

Logiciels qui implémentent In-Context Learning ou s'y intègrent.

Prompting

Few-Shot Learning

Position de la technologie

AI
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Prompting
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concept
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In-Context Learning

Technologies liées

Few-Shot Learning technique
LLM concept
Prompt Engineering technique

Ressources officielles

Documentation

Dernière mise à jour: 2026-10-08
Dernière vérification: 2026-10-08

Sources citées

Chaque relation de cette page porte sa source.

arxiv.org 3 claims