Unverified60% confidenceFactExact time
The new generation of LLM-based dialogue systems uses a context window mechanism, enabling semantic coherence across multiple consecutive conversational turns and adaptive adjustments.
2
Sources
60%
Confidence
Long-term
Relevance
8/7/2026
First Seen
Sources
Related Claims
VerifiedThe context window mechanism causes models in multi-turn conversations to feed the entire conversation history into the context, causing token consumption to grow rapidly as the conversation lengthens.79% similarUnverifiedLLM交互模型中输入分为系统提示、用户消息和助手回复三个层次，系统提示处于最高优先级并在整个对话中持续生效78% similarUnverified现代 LLM 应用通常将上下文分为三层：系统提示词、对话历史和用户输入78% similarUnverifiedCadenya has a built-in Context Compaction mechanism to automatically manage the context of long conversations.75% similarUnverifiedSetting the background (system-level context) once at the start of the conversation and having all subsequent interactions based on that context, rather than re-entering it each time, can save tokens.75% similar
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