Unverified50% confidenceFactExact time
The current mainstream LLM applications adopt a stateless interaction model, where the model itself does not retain cross-session memory and all context must be temporarily fed in via prompts.
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50%
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Long-term
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9/11/2026
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UnverifiedLLM本质上是无状态的推理引擎，每次调用模型时所有记忆都必须以文本形式塞入上下文窗口76% similarUnverifiedCurrent LLMs perform stateless inference based on context windows and do not retain memory of previous interactions unless content is explicitly passed in as context.74% similarUnverifiedLLM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.73% similarUnverifiedLarge models are essentially stateless systems that do not remember previous conversations and require an external memory system to achieve coherence in multi-turn dialogues.72% similar
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