Unverified50% confidenceFactExact time
Prompt caching reuses input processing, not model output or memory; each request is still a stateless, independent inference.
1
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50%
Confidence
Long-term
Relevance
10/11/2026
First Seen
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Related Claims
Unverified提示缓存缓存的是模型处理输入时产生的中间计算结果（KV对），而非模型的输出78% similarUnverified该系统在提示词中明确要求模型只能使用提供的上下文作答，答案不在上下文中时直接回答不知道，而非凭训练记忆编造76% similarVerifiedLarge models are essentially stateless; during each inference, the model can only see the token sequence in the current input and has no persistent memory storage.73% similarUnverifiedThe Memory mechanism is essentially a combination of system prompt engineering and external memory storage, because mainstream large models are stateless and each API call is independent.73% similarUnverifiedMemory entries are injected into the context window as part of the system prompt; this is essentially a form of persistent prompt engineering that changes the input the model sees rather than the model's parameters.73% similar
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