Unverified50% confidenceFactExact time
The knowledge of general-purpose large models comes from massive public corpora, which is broad but not deep.
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50%
Confidence
Long-term
Relevance
9/17/2026
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UnverifiedLarge models store parametric knowledge, with world knowledge compressed and encoded into billions of neural network weights rather than being stored in a structured knowledge base that can be precisely retrieved.78% similarUnverifiedNative large models are trained on publicly available data, have no independent reasoning ability, can only perform probabilistic generation based on learned knowledge, and have a knowledge cutoff date.70% similarUnverified大语言模型的知识是通用性的，不了解具体项目上下文，面对已有系统时缺乏项目特定上下文会导致输出退化为有根据的猜测70% similarUnverifiedReasoning models can constructively understand never-before-seen scenarios by combining existing knowledge, possessing zero-shot generalization ability, which is difficult for pure perception models to achieve.70% similar
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