Unverified50% confidenceFactExact time
A traditional large model is essentially a stateless function; every conversation starts from scratch, and context is truncated once it exceeds the context window length limit.
1
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50%
Confidence
Long-term
Relevance
10/2/2026
First Seen
Sources
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Related Claims
VerifiedLarge models are essentially stateless, and multi-turn conversations are implemented by sending the historical conversation records together with each request to the model.78% similarVerifiedLarge language models are essentially stateless functions whose weights are fixed at inference time and do not learn over time.76% similarUnverified传统大模型天然是无状态的，每次推理都是独立的前向传播过程，没有持久化的外部记忆，也没有与环境交互的接口73% similarVerifiedEach inference call to a large model is an independent forward pass; the model weights are completely fixed during inference and there is no mechanism to preserve state across conversation sessions.72% similarUnverified早期大模型对话是无状态的，模型在推理时仅处理当前输入的token序列，不存在跨请求的内部状态持久化71% similar
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