Leveraging ML Inference for Generative AI on AWS - AWS ML Heroes in 15

Machine Learning (ML) is becoming essential for many companies - either as a core product, an internal tool, or as a service for improving operations. One challenge when deploying the Machine Learning model to production is navigating through different hardware, service, and orchestration options. Deployment becomes even more challenging when it needs to work with foundational models. This webinar will focus on providing a comprehensive understanding of different ML deployment options on AWS. We will explore different ways of deploying pre-trained models to the AWS from SageMaker Real-time Inference to Elastic Container Service and AWS Lambda. We will also cover different ways of deploying ML infrastructure - from SageMaker JumpStart and SageMaker SDK to AWS Copilot and AWS SAM. There will be a live demo that shows how the deployment process would look like for Generative AI models (also known as Foundation Models) using SageMaker JumpStart and for vision models, using AWS Copilot. Join the AWS ML Heroes, a group of recognized, independent AWS experts with deep ML expertise and a shared passion to democratize ML, to gain real world insight and best practices on applying ML on AWS, including generative AI, in the AWS Machine Learning (ML) Heroes in 15 Webinars: https://pages.awscloud.com/global-ln-gc-400-mlheroeswebinars.html Visit the Machine Learning on AWS Playlist to learn more about Machine Learning on AWS and how to innovate faster with the most comprehensive set of AI and ML services: https://www.youtube.com/playlist?list=PL5bUlblGfe0Ljo83LHtrRPXdQAsklFEFB Learn more about generative AI on AWS and explore the newest and most exciting updates on the Exploring Generative AI on AWS Playlist: https://www.youtube.com/playlist?list=PL5bUlblGfe0K0uUGD3-AToBcOOLIqSWBs Subscribe to AWS Online Tech Talks On AWS: https://www.youtube.com/@AWSOnlineTechTalks?sub_confirmation=1 Follow Amazon Web Services: Official Website: https://aws.amazon.com/what-is-aws Twitch: