Unverified50% confidenceFactExact time
LLM在推理阶段参数是冻结的，模型不会因用户交互而更新权重，因此本质上是无状态的
1
Sources
50%
Confidence
Long-term
Relevance
7/21/2026
First Seen
Sources
Related Claims
Partially VerifiedEach LLM inference is stateless and constrained by the limited context window; the model has no persistent memory of its own.76% similarUnverified大语言模型（LLM）在架构层面是无状态系统，每次推理调用是一次独立的前向传播计算，模型权重在推理阶段完全冻结76% similarUnverifiedLLM采用无状态设计，模型权重在训练后被固化，推理时不会因某次对话而改变内部参数75% similarUnverifiedLLM本质上是无状态的文本预测系统，没有感知当前运行环境的原生能力73% similarUnverifiedThe statelessness of LLMs is a fundamental characteristic of the Transformer architecture; the model stores no state after a session ends or the context is cleared.69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/581134API
curl https://kongchang.com/api/v1/knowledge/claims/581134MCP
get_claim(id=581134)