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Plain-language AI glossary

Term 04FundamentalsMeaning / context / connections

Fundamentals / Definition

Context Window

The maximum amount of text (measured in tokens) that an AI model can process in a single request, including both input and output.

Browse all termsUnderstand the idea
04of 75
01

MeaningThe one-sentence definition.

02

ContextHow the idea works in practice.

03

UsesWhere the concept becomes useful.

01 / Plain-language context

How Context Window works.

Context window size determines how much information a model can consider in one request. Current limits vary widely by model and can change between releases. Larger windows can help with long documents, codebases, and extended conversations, but more context can increase cost and latency. It can also make relevant information harder to retrieve reliably, so good systems still select and structure context deliberately.

02 / Practical uses

Where it helps.

  1. 01Long document analysis
  2. 02Codebase understanding
  3. 03Extended conversations
  4. 04Multi-document synthesis
03 / Keep exploring
TokenizationThe process of breaking text into smaller units (tokens) that an AI model can process, typically subwords or word pieces.Large Language Model (LLM)A neural network trained on massive text datasets that can generate, understand, and reason about human language.RAG (Retrieval-Augmented Generation)A technique that enhances AI responses by retrieving relevant information from a knowledge base before generating an answer.