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Home/Glossary/Context Window
AI Glossary Term

What does “Context Window” mean?

Definition

The maximum amount of input tokens a language model can process at once.

Related terms

Tokenization
The process of splitting text into tokens for model input.
Data Drift
A shift in real-world input data over time that can degrade model performance.
Multimodal Model
A model that can process or generate multiple data types such as text, image, and audio.
Perplexity
A language-model metric measuring how surprised the model is by true next tokens.
Prompt
The input instructions and context provided to a generative model.
Sliding Window Attention
An attention pattern where each token attends only to a fixed-size window of nearby tokens to reduce compute.

Learn more in our free guides

Model Context ProtocolPosition Interpolation for Context ExtensionYaRN Context Window ScalingYaRN and Context Length Extension

See also

Computer VisionContinual LearningComputeConvolutional Neural Network (CNN)CLIPCross-Entropy LossClassifierData Augmentation
PreviousComputer VisionNextContinual Learning
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