Unverified50% confidenceFactExact time
开发者通常通过将历史对话拼接进上下文窗口来模拟LLM的记忆，但会遭遇上下文长度限制、成本飙升及信息检索精度下降等问题
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50%
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Long-term
Relevance
8/29/2026
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VerifiedEven models with a million-token context face an attention dilution problem when handling large codebases—when the context is too long, the model's attention to early content drops significantly.74% similarUnverifiedLLM生产化部署面临的挑战包括幻觉在长流程中累积放大、上下文窗口限制导致信息丢失、模型版本更新导致行为漂移、并发场景下状态管理复杂性73% similarUnverifiedLLM存在上下文窗口限制，在超长对话中面临注意力稀释问题，早期决策记录会被赋予更低注意力权重72% similarUnverified长对话切换至上下文窗口较小的模型时可能出现历史截断问题72% similar
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