Knowledge Cutoff

A knowledge cutoff is the date beyond which an AI model has no training data, meaning it cannot answer questions about events, discoveries, or changes that occurred after that point. The cutoff exists because training a model requires a fixed dataset collected up to a specific date. This limitation is a key reason why grounding and RAG techniques are used to supplement model knowledge.