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English(EN) Keep hearing the same story from prospects. "We used model X, tooling Y, and slapped RAG Z on it. Doesn't work" Yea no shit. As we speak I know of companies tha

AI从业者在RAG实施方面遇到困难

一位Mastodon用户分享了潜在客户的普遍抱怨,他们试图通过结合通用模型(模型X)、未指明的工具(工具Y)和检索增强生成(RAG Z)来构建AI解决方案,结果发现其无效。用户指出,这种方法通常会导致失败,一些公司拒绝他们的提议并走上类似的失败道路。 AI

影响 强调了AI实施中常见的陷阱,表明需要超越基本RAG的更稳健的策略。

排序理由 该条目是一篇社交媒体帖子,表达了对常见AI实施失败的看法。

在 Mastodon — mastodon.social 阅读 →

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

AI从业者在RAG实施方面遇到困难

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该条目是一篇社交媒体帖子,表达了对常见AI实施失败的看法。
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Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, opinion
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93 days old
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报道来源 [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    不断听到潜在客户讲同一个故事。“我们用了模型X、工具Y,然后在其上添加了RAG Z。不起作用” 呵,这算什么。就在我们说话的时候,我知道有公司...

    Keep hearing the same story from prospects. "We used model X, tooling Y, and slapped RAG Z on it. Doesn't work" Yea no shit. As we speak I know of companies that rejected our offers and are going down that same road of failure. Tiring some days 😆 # rag # ai # agents