Context Length

Noun · AI & Machine Learning

Definitions

  1. The maximum amount of input and sometimes generated output that a model can consider within a single request, usually measured in tokens. Context length affects what documents, instructions, and conversation history can fit at once.

    In plain English: How much text or information an AI model can handle in one go.

    Example: "They hit the model's context length limit when trying to include the full audit trail, prompt, and expected output schema together."

Related Terms