一个使用Qwen 1.8B模型的自托管支持机器人，用一个小知识库和已知及未知问题混合进行测试。该机器人自信地编造了30个未知问题中的22个答案，经常陈述不正确的信息，例如特定功能或折扣的缺失。一个 AI
排序理由 [lever_c_demoted from research: ic=1 ai=1.0]
AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →
我的支持-FAQ机器人编造了22个它不知道的答案。将其固定在n8n上可将此降至0
本文如何被排名
- Signal score
- 5 / 100
- Composite score across the factors below. Higher = stronger signal that this story matters right now.
- Newsworthiness bucket
- Tool
- [lever_c_demoted from research: ic=1 ai=1.0]
- Source corroboration
- 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.
- AI-industry relevance
- High
- Clearly on-topic for AI-industry coverage.
- Story freshness
- Breaking (< 6h)
- Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.
完整方法见我们的编辑标准。
报道来源 [1]
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我的支持 FAQ 机器人编造了 22 个它不知道的答案。在 n8n 中进行 grounding 后，该数字降至 0
<p>A support bot that says "I don't know" is annoying. A support bot that confidently says "No, we don't have a phone number" when nobody ever wrote that down is a liability.</p> <p>So I tested mine. I gave a small support-FAQ workflow a 6-entry knowledge base and asked it 20 que…