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