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

The Six Five with Patrick Moorhead and Daniel Newman

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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

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