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English(EN) I Stopped My Hindsight-Backed Agent From Inventing My Past

开发者详述构建代理记忆审计工具的挑战

作者详述了在使用开源代理记忆系统Hindsight构建审计工具时遇到的挑战。主要问题是当语言模型的记忆为空时,它会编造过去的投资细节,通过编程将虚构的历史覆盖为“未找到”状态来解决。另一个问题涉及区分已评估的提案和实际投资,这需要在记忆记录中进行明确标记以防止误解。最后,由于存储记录中的事实重叠,系统最初返回了压倒性的结果数量,这需要一个清理步骤来去重、截断并限制输出以适应模型的上下文窗口。 AI

影响 强调了将LLM输出与事实记忆相结合的复杂性,这对于可靠的AI代理和审计工具至关重要。

排序理由 文章描述了使用开源代理记忆系统构建的特定工具的开发和挑战。

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 →

开发者详述构建代理记忆审计工具的挑战

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文章描述了使用开源代理记忆系统构建的特定工具的开发和挑战。
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报道来源 [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Shubham Srivastava ·

    我阻止了我的事后诸葛亮式代理发明我的过去

    <p>When you ask a language model for "similar past investments" and it will give you some. Names, years, write-off amounts. It does not matter that you have never made an investment. The model is trying to be helpful, and a blank where your history should be looks like a gap to f…