What does In-Context Learning mean? Definition | AI Understanding

Definition

A model's ability to follow patterns from examples provided directly in the prompt.

Related terms

The input instructions and context provided to a generative model.

Few-Shot Learning

Learning or adapting behavior from only a small number of examples.

Machine Learning (ML)

Methods that allow systems to learn patterns from data and improve over time.

Unsupervised Learning

Learning patterns from unlabeled data without explicit target outputs.

A language-agnostic tokenizer that learns subword units directly from raw text without pre-splitting on whitespace.

Intent Classification

Predicting the user's purpose from a text query to route it correctly.

Learn more in our free guides

Deep Learning Reinforcement Learning Machine Learning Basics Supervised Learning

See also

Hyperparameter Inference Human-in-the-Loop Inference-Time Compute Hallucination Instruction Tuning Guardrails Ground Truth

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