All terms
Reliability and knowledge
Knowledge cutoff
A knowledge cutoff is the point after which a model’s training data may not include later events or changes. It does not limit information supplied in current context or retrieved by tools.
Example
For a newly released library API, the agent reads the installed documentation instead of relying on training knowledge.