Verified65% confidenceFactExact time
Large models are essentially stateless, and multi-turn conversations are implemented by sending the historical conversation records together with each request to the model.
3
Sources
65%
Confidence
Long-term
Relevance
7/14/2026
First Seen
Sources
Spring AI完整教程：ChatModel、RAG与MCP实战指南
Related Claims
Unverified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81% similarUnverifiedMulti-turn dialogue is implemented by re-inputting all previous conversation history to the model with each request, rather than the model having genuine memory capability.80% similarUnverifiedA 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.78% 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.77% similarUnverified大模型是无状态的，每次API调用对模型来说都是一次全新的推理过程，完全依赖messages列表来回忆之前发生的事情74% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/504059API
curl https://kongchang.com/api/v1/knowledge/claims/504059MCP
get_claim(id=504059)