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English(EN) Query Fan-Out Splits One AI Prompt Into 8 to 20 Hidden Searches On September 15, Google Research published a model that writes ten search directions in 0.07 sec

Google Research发布更快的查询扇出技术以用于AI搜索

作者 PulseAugur 编辑部 · [1 个来源] ·

Google Research开发了一个新模型R4T-Diffusion，显著加快了查询扇出过程。查询扇出是一种将单个AI提示分解为多个子查询的技术。该新模型能在短短0.07秒内生成十个搜索方向，比以前的方法有了显著改进。虽然研究论文是在特定数据集上测试的，而非实时网络搜索，但它证实了Google在提高查询扇出效率和多样性方面的投入，这对于AI Overviews等AI驱动的搜索结果至关重要。 AI

影响 这一发展可能带来更高效、更细致的AI驱动搜索结果，影响品牌如何为AI Overview优化内容。

排序理由 Google Research发布的关于查询扇出新模型的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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 →

Google Research发布更快的查询扇出技术以用于AI搜索

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Google Research发布的关于查询扇出新模型的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

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

    查询扇出将一个AI提示拆分为8到20个隐藏搜索，谷歌研究人员于9月15日发布了一个在0.07秒内生成十个搜索方向的模型

    Query Fan-Out Splits One AI Prompt Into 8 to 20 Hidden Searches On September 15, Google Research published a model that writes ten search directions in 0.07 seconds. At a batch size of eight, the older method needed 1.46 seconds for the same job. That gap sounds like plumbing. It…

    链接 semrush.com/…/en

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