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Contenido proporcionado por Daniel Newman and Patrick Moorhead. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Daniel Newman and Patrick Moorhead o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
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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
Contenido proporcionado por Daniel Newman and Patrick Moorhead. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Daniel Newman and Patrick Moorhead o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.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 episodios

Artwork
iconCompartir
 
Manage episode 454162315 series 2645868
Contenido proporcionado por Daniel Newman and Patrick Moorhead. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Daniel Newman and Patrick Moorhead o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.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 episodios

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