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The Science behind AWS GenAI - Six Five On The Road at AWS re:Invent

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Manage episode 454162315 series 2645868
内容由Daniel Newman and Patrick Moorhead提供。所有播客内容(包括剧集、图形和播客描述)均由 Daniel Newman and Patrick Moorhead 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

How is AWS making generative AI more accessible and cost-effective? Jason Andersen, Vice President and Principal Analyst, Moor Insights & Strategy is joined by Amazon Web Services' Sherry Marcus, Director, Bedrock Science for a look at the science powering AWS's GenAI capabilities on this episode of Six Five at AWS re:Invent.

Tune in for details on ⤵️

  • AWS's internal best practices for building and deploying GenAI capabilities for their customers

  • The role of data science in providing a scalable, secure, and resilient three-layer stack for GenAI at AWS

  • The strategic focus on multi-agent collaboration and model distillation within Amazon Bedrock to facilitate the creation of high-accuracy, low-latency AI models at reduced costs

  • Insights into AWS's process for starting GenAI projects, selecting models for distillation, and the importance of autonomous agents in the future of GenAI

  • An overview of how model routing enhances AWS's GenAI offerings, ensuring efficiency and effectiveness in the deployment of AI solutions

  continue reading

119集单集

Artwork
icon分享
 
Manage episode 454162315 series 2645868
内容由Daniel Newman and Patrick Moorhead提供。所有播客内容(包括剧集、图形和播客描述)均由 Daniel Newman and Patrick Moorhead 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

How is AWS making generative AI more accessible and cost-effective? Jason Andersen, Vice President and Principal Analyst, Moor Insights & Strategy is joined by Amazon Web Services' Sherry Marcus, Director, Bedrock Science for a look at the science powering AWS's GenAI capabilities on this episode of Six Five at AWS re:Invent.

Tune in for details on ⤵️

  • AWS's internal best practices for building and deploying GenAI capabilities for their customers

  • The role of data science in providing a scalable, secure, and resilient three-layer stack for GenAI at AWS

  • The strategic focus on multi-agent collaboration and model distillation within Amazon Bedrock to facilitate the creation of high-accuracy, low-latency AI models at reduced costs

  • Insights into AWS's process for starting GenAI projects, selecting models for distillation, and the importance of autonomous agents in the future of GenAI

  • An overview of how model routing enhances AWS's GenAI offerings, ensuring efficiency and effectiveness in the deployment of AI solutions

  continue reading

119集单集

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