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English(EN) Why Google failed to make GPT-3 + why Multimodal Agents are the path to AGI — with David Luan of Adept

Adept联合创始人:多模态智能体是AGI的关键,谷歌错失GPT-3机遇

Adept联合创始人David Luan讨论了谷歌在开发GPT-3等大型语言模型方面的过往挣扎。他认为,通用人工智能(AGI)的未来在于能够与各种工具和环境交互的多模态智能体。Luan强调了Adept在构建此类智能体方面的专注,并指出这种方法是推动AI能力超越当前文本模型发展的关键。 AI

影响 提出多模态智能体是通往AGI的关键路径,可能改变研究重点。

排序理由 播客访谈,讨论AI概念和公司过往表现。

在 Latent Space Podcast 阅读 →

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Adept联合创始人:多模态智能体是AGI的关键,谷歌错失GPT-3机遇

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报道来源 [1]

  1. Latent Space Podcast TIER_1 English(EN) · Latent.Space ·

    谷歌为何未能复制GPT-3的成功——以及多模态智能体如何成为AGI的必经之路——专访Adept的David Luan

    <p>Our next SF event is AI UX 2024 - let’s see the new frontier for UX since last year! Last call: we are recording a preview of the AI Engineer World’s Fair with swyx and Ben Dunphy, send any questions about Speaker CFPs and Sponsor Guides you have! Ales...</p>