[KongchangAI]
Unverified50% confidenceFactExact time

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

1
Sources
50%
Confidence
Long-term
Relevance
7/6/2026
First Seen

Sources

Building a RAG Q&A Workflow with Dify: A 4-Step Guide to Enterprise Knowledge Base Chatbots
bilibiliAI大模型大课堂6/30/2026

Related Claims

UnverifiedThe 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.72% similarUnverified推理成本会随用户量线性乃至超线性增长，而训练是一次性或周期性成本70% similar

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