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Unverified50% confidenceFactExact time

AI Agent的依赖链中存在多个概率性节点，每个节点的输出分布可能随时间发生统计意义上的偏移

1

Sources

50%

Confidence

Long-term

Relevance

7/22/2026

First Seen

Sources

生产环境AI Agent依赖漂移：识别、应对与构建抗漂移系统

Related Claims

UnverifiedAI Agent的依赖栈中存在多个概率性节点，如大语言模型的随机采样（temperature > 0）、向量数据库的相似度检索，使其行为空间比传统软件更复杂79% similar UnverifiedAI Agent的自主循环可能触发数十乃至上百次模型推理，本地推理可将延迟降至毫秒级并消除按调用计费的成本76% similar UnverifiedAI漂移源于大语言模型的自回归生成机制，模型每次生成下一个token时基于当前上下文的概率分布做选择76% similar UnverifiedAI Agent同一个任务在不同上下文长度下，单次Token消耗能飘移5到50倍75% similar Unverified当多个AI交易系统采用相似的LLM底座和策略逻辑时，可能产生AI羊群效应的系统性风险74% similar

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