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模型自噬失调的风险：为何企业需要数据“B计划”

随着人工智能模型基于内容进行训练，企业记录的重要性日益凸显。

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    • 当人工智能模型反复使用其他人工智能系统生成的内容进行训练时，它们识别罕见场景的能力通常会最先消失。
    • 当人工智能模型反复使用其他人工智能系统生成的内容进行训练时，它们识别罕见场景的能力通常会最先消失。 图片来源：PIXABAY

    Lim Hsin Yin

    Published Wed, Jul 22, 2026 · 07:00 AM

    本文由 AI 翻译，关键事实请以原文为准。

    查看原文

    尽管企业正将人工智能更深入地融入日常运营，但互联网上的公开内容对于这项技术所需的背景信息而言，已变得越来越不可靠。

    网络上大部分现成的信息已被大量挖掘并用于训练大型语言模型 (LLM)，而剩余信息中由人工智能而非人类生成的部分正日益增多。

    每当互联网信息的质量下降，建立在此基础上的人工智能输出结果的可靠性也会随之降低。

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