Broadcast Date: June 02, 2023
Level: 200
Tune in to learn how to build AI-powered experiences leveraging the latest technology in Machine Learning and Generative AI with Hugging Face and Amazon SageMaker. In part one of this two part series, we will walk through building a generative AI application through Amazon SageMaker’s fully managed infrastructure. Join our AWS ML Hero for an in-depth presentation, interactive demo, followed by a short Q&A session. Tune in on June 9th for the second part of this two part series to learn how to develop and deploy the same application using AWS self-managed ML infrastructure services and ML frameworks.
Learning Objectives
- How to get started using foundation models on Amazon SageMaker JumpStart.
- How to fine tune pre-trained models with your own data.
- How to deploy your model and run inference for your Gen AI use case.
Who Should Attend?
Developers, Data Scientists, ML practitioners
Speaker(s)
Philipp Schmid, Technical Lead at Hugging Face & AWS ML Hero
Learn More
To learn more about the services featured in this talk, please visit:
https://aws.amazon.com/sagemaker/jumpstart/?sagemaker-data-wrangler-whats-new
Intro body copy here about 2018 re:Invent launches.
Download the slide deck
Compute
Service How To
December 19th, 2018 | 1:00 PM PT
Developing Deep Learning Models for Computer Vision with
Amazon EC2 P3 Instances.
Data Lakes & Analytics
Webinar 1:
What's New / Cloud Innovation
December 10th, 2018 | 11:00 AM PT
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