Unverified50% confidenceFactExact time
Large 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.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/11/2026
First Seen
Valid until: 12/10/2026
Sources
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Related Claims
VerifiedThe pre-training process of large language models requires thousands of high-end GPUs running in parallel for months, with costs typically ranging from tens of millions to hundreds of millions of dollars.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76% similarVerifiedFine-tuning requires hundreds to thousands of high-quality training samples, hours of GPU compute time, and ongoing maintenance costs, and the entire process must be repeated whenever knowledge is updated.73% similarUnverified参数化知识固化在模型神经网络权重中，更新代价极高，通常需要数周乃至数月的重新训练；非参数化知识存放在独立外部索引中，可随时增删改查，更新成本接近于零73% similar
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