Unverified50% confidenceFactExact time
Current large models almost all rely on external storage outside the model to maintain dialogue context, with dialogue history appended to prompts or vector databases.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/28/2026
First Seen
Valid until: 1/26/2027
Sources
Related Entities
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.79% similarUnverifiedGeneral-purpose models (chat models) are optimized for everyday conversation scenarios, pursuing response speed and language fluency, outputting token by token, and not performing additional internal reasoning or self-checking.79% similarUnverifiedThe context window refers to the total amount of information a model can process simultaneously in a single conversation, usually calculated in tokens; as the number of conversation turns increases, earlier content gradually exceeds the window range, causing the model to "forget" earlier discussion.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.77% similarVerifiedEach model response includes the full conversation history (context window) in billing, and as the number of dialogue turns increases, the token consumption per call grows linearly or even super-linearly.77% similar
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