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EP202 *Live*: What's next for ChatGPT, Googles Bard fumble, and the future of Generative AI

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Manage episode 355576831 series 3299521
内容由Marcus and Rami提供。所有播客内容(包括剧集、图形和播客描述)均由 Marcus and Rami 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
Welcome to this episode of our podcast, where we'll be discussing the future of generative AI and the recent Google Bard fumble. First, we'll be talking about the exciting developments in store for ChatGPT, the large language model trained by OpenAI. Next, we'll discuss the recent Google Bard fumble. Bard was Google's latest attempt to create a language model capable of creative writing. However, the project was criticized for the quality of its outputs, which often lacked coherence and originality. We'll examine some of the reasons why Bard fell short and what this means for the future of generative AI. Finally, we'll take a broader look at the future of generative AI. What are some of the most exciting applications of this technology, and what challenges will we face as it becomes more prevalent? Will we ever be able to create machines that can truly match human creativity and intelligence, or will AI always be limited by the data it is trained on? Join us as we explore these fascinating questions and more.
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Manage episode 355576831 series 3299521
内容由Marcus and Rami提供。所有播客内容(包括剧集、图形和播客描述)均由 Marcus and Rami 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
Welcome to this episode of our podcast, where we'll be discussing the future of generative AI and the recent Google Bard fumble. First, we'll be talking about the exciting developments in store for ChatGPT, the large language model trained by OpenAI. Next, we'll discuss the recent Google Bard fumble. Bard was Google's latest attempt to create a language model capable of creative writing. However, the project was criticized for the quality of its outputs, which often lacked coherence and originality. We'll examine some of the reasons why Bard fell short and what this means for the future of generative AI. Finally, we'll take a broader look at the future of generative AI. What are some of the most exciting applications of this technology, and what challenges will we face as it becomes more prevalent? Will we ever be able to create machines that can truly match human creativity and intelligence, or will AI always be limited by the data it is trained on? Join us as we explore these fascinating questions and more.
  continue reading

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