Unverified50% confidenceFactExact time
Parametric memory is knowledge solidified into model weights during the training phase, encoded across billions or even trillions of parameters.
1
Sources
50%
Confidence
Long-term
Relevance
9/6/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe facts absorbed by large language models during the pre-training phase are encoded in a distributed manner across billions of parameters, with a single fact diffused across the activation patterns of hundreds or even thousands of neurons78% similarUnverifiedDuring LLM training, memorization occurs, where models may verbatim store fragments of training data and reproduce them during inference.77% similarUnverifiedMLP层充当模型的长期事实记忆库，其键值对是预训练阶段固化在权重中的静态参数75% similarUnverified大语言模型的参数量从数十亿到数千亿不等，本质上是对训练数据中统计规律的压缩存储75% similarUnverifiedParametric memory is static, read-only knowledge solidified into model weights during the training phase and does not update through conversation after training is complete.75% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/865971API
curl https://kongchang.com/api/v1/knowledge/claims/865971MCP
get_claim(id=865971)