Unverified50% confidenceFactExact time
Large model training cycles span months to years, and researchers or test users often encounter early versions before the official release, giving rise to the phenomenon of unofficial information leaking out in advance.
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50%
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Long-term
Relevance
9/23/2026
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Related Claims
VerifiedThe 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.79% similarUnverified主流大模型的训练数据通常有6-18个月的滞后期76% 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75% similarUnverified主流大语言模型的训练数据通常滞后现实世界6个月到2年不等72% similarUnverifiedFine-tuned models are based on existing open-source base models and use small domain-specific datasets, with training time typically ranging from hours to days.72% similar
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