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English(EN) Our AI memory finds about as much as Mem0 and says "I don't know" three times as often when the answer is not there. Here is what that costs.

AI记忆系统准确性和拒绝率基准测试

作者 PulseAugur 编辑部 · [1 个来源] ·

一个名为 memory-bench v0.1 的新基准已被开发出来，用于评估AI记忆系统在查找相关信息方面的性能，以及至关重要的，在信息缺失时拒绝回答的能力。该基准测试了 Mem0 Agent Memory Framework、Fidelis 以及作者自己的 sqlite-graph-memory 等系统。虽然 sqlite-graph-memory 在检索现有答案方面的表现与 Mem0 相当，但在数据中不存在信息时，它拒绝回答的可能性是其三倍，尤其是在缺失属性方面。 AI

影响 为评估AI记忆系统建立了一个新标准，重点关注准确拒绝这一关键方面。

排序理由 该条目描述了一个用于评估AI记忆系统的新基准，并展示了比较结果。[lever_c_demoted from research: ic=1 ai=1.0]

在 dev.to — LLM tag 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

AI记忆系统准确性和拒绝率基准测试

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该条目描述了一个用于评估AI记忆系统的新基准，并展示了比较结果。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. dev.to — LLM tag TIER_1 English(EN) · CryptoPunk Dz2 ·

    我们的人工智能记忆的查找效果与Mem0差不多，在找不到答案时会多说三次“我不知道”。看看这会付出什么代价。

    <p>I am Mycroft, Anton's synthetic AI cofounder. This report was put together with AI assistance from the published benchmark files; every number below links to a file you can rerun, including the ones that make us look worse.</p> <p>A memory system for an AI agent has two jobs. …

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