Expired65% confidenceFactExact time
Large models are essentially stateless systems that do not remember previous conversations and require an external memory system to achieve coherence in multi-turn dialogues.
3
Sources
65%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
From Tokens to Agents: A Deep Dive into the Core Logic Behind AI's Key Concepts
bilibili人工智能AI大模型课程6/8/2026
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.84% similarVerifiedLarge models do not have memory capability by default; a ChatMemory mechanism must be introduced to remember the content of past conversation turns.84% similarUnverifiedMemory机制在大语言模型工程中对应系统提示词工程与外部记忆存储的结合，用于模拟无状态模型的持久化状态78% 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.76% 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.74% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/50208API
curl https://kongchang.com/api/v1/knowledge/claims/50208MCP
get_claim(id=50208)