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English(EN) How I Forced LLMs to Stop Hallucinating in the Real World (An Open-Source Protocol)

我如何迫使大型语言模型在现实世界中停止幻觉（一个开源协议）

作者 PulseAugur 编辑部 · [1 个来源] ·

一个名为 SSAP Card 00 的新开源协议旨在通过强制大型语言模型遵循物理现实和约束来对抗幻觉。该协议由 GoChinaTrip 开发，将大型语言模型视为受约束的解析器而非纯粹的写作者，要求它们在生成指令前识别环境因素、矛盾和可访问的通信渠道。这种方法已在现实场景中进行了测试，例如在中国机场和急诊室导航，以确保人工智能生成的建议在物理上可行并避免生成 AI

排序理由 [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 →

我如何迫使大型语言模型在现实世界中停止幻觉（一个开源协议）

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报道来源 [1]

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

    我如何迫使大型语言模型在现实世界中停止“幻觉”（一个开源协议）

    <p>We all know LLMs are brilliant at coding and writing. But if you ask an LLM to guide a foreigner through the physical world (e.g., navigating a Chinese airport, using an Alipay QR code, or surviving a Chinese ER), it generates "perfectly formatted garbage."</p> <p>Why? Because…