Partially Verified65% confidenceFactExact time
Parametric knowledge refers to the implicit memory compressed into the weight parameters of a language model during pre-training, while non-parametric knowledge refers to knowledge retrieved at inference time.
3
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65%
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Long-term
Relevance
10/11/2026
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Related Claims
UnverifiedParametric memory is static, read-only knowledge solidified into model weights during the training phase and does not update through conversation after training is complete.79% similarVerified大语言模型的预训练阶段本质上属于自监督学习，是一种特殊的非监督学习，模型通过预测下一个词来从海量文本中自动学习语言规律74% similarVerifiedLarge language models rely solely on parameter weights fixed during training for autoregressive generation at inference time, and have two inherent limitations: a knowledge cutoff and capability boundaries74% similarUnverifiedParametric memory is knowledge solidified into model weights during the training phase, encoded across billions or even trillions of parameters.74% similar
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