Knowledge Cutoff
The date beyond which a language model has no training data, meaning it lacks awareness of events, discoveries, or changes that occurred after that date.
Implications
An LLM with a January 2025 knowledge cutoff won't know about events after that date. It may give outdated information about fast-changing topics (stock prices, political events, latest model releases).
Mitigation
RAG (retrieve current information), web search tools, fine-tuning on newer data, and clearly communicating the cutoff date to users. The model should express uncertainty about post-cutoff events.