Unverified60% confidenceFactExact time
Large models have a knowledge cutoff date during training and cannot retain a company's internal private data.
2
Sources
60%
Confidence
Long-term
Relevance
9/18/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedLarge language models have an inherent limitation of a knowledge cutoff date, meaning the model only contains information up to the cutoff date of its training data.78% similarUnverifiedOne of the root causes of LLM hallucination is that training data has a cutoff date, making it impossible to access the latest information after that date76% similarUnverifiedLarge model training cycles last from several months to over a year, with costs starting in the millions of dollars, and once training is complete the knowledge base is fixed and cannot be updated in real time.71% similarVerifiedThe knowledge cutoff of mainstream models often lags behind their release date by half a year to more than a year, because training data collection and cleaning takes several months.71% similarUnverified从模型训练到部署及企业实际使用周期，知识滞后的窗口期有时可超过两年70% similar
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