AI Glossary

Knowledge cutoff

The date through which a model's knowledge is most extensive and reliable, which Anthropic calls its reliable knowledge cutoff. Anthropic also publishes a training data cutoff, which marks the broader range of data the model was trained on.

See also

  • Pretraining

    The first stage of training, in which a model learns general patterns from a large, broad dataset before it is adapted to particular tasks.

  • Grounding

    Tying a model's answer to specific sources it was given, such as documents or search results, so the answer can be checked against them.

Source: Claude Platform documentation, Models overview (reliable knowledge cutoff) (opens in a new tab)

Cite this term.

CC BY 4.0, attribution required.

This term

Orbyt Labs, Knowledge cutoff (AI Glossary), Oct 18, 2026. https://www.orbytlabs.ai/orbyt-collective/glossary/knowledge-cutoff

The dataset (JSON)

Orbyt Labs Glossaries (Oct 19, 2026), https://www.orbytlabs.ai/glossary#dataset

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