Generative AI Use Case Playground Deep-Dive with Amazon SageMaker + Amazon DataZone and Data Mesh

Опубликовано: 28 Октябрь 2024
на канале: Generative AI on AWS

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Talk #0: Introductions and Meetup Announcements
By Chris Fregly, Principal Solution Architect and Antje Barth, Principal Developer Advocates, AI and machine learning @ AWS

Talk #1: Amazon DataZone and Data Mesh
By Joel Farvault, Principal Solutions Architect @ AWS Data & Analytics

Use Amazon DataZone to share, search, and discover data at scale across organizational boundaries. Collaborate on data projects through a unified data analytics portal that gives you a personalized view of all your data while enforcing your governance and compliance policies.

Talk #2: Generative AI Use Case Playground and Deep-Dive
By Arun Shankar, Sr. Solution Architect @ AWS AI/ML

I will provide guidance from how to best showcase our SageMaker Generative AI playground or try-out experience (e.g., prompt engineering guidance), training/ fine tuning capabilities available, selecting instances and real-world deployment considerations in production.

We will cover:

Guided Generative AI demos, git-hub examples and technical Q&A for public and proprietary models in SageMaker.
Differences between various types of learning with these large language models, natural language understanding and generation tasks they can solve and what are the some of the common use cases that are aligned with these tasks.
Guidance on how to select the model that fits their needs (looking at model performance, cost and usability).
RSVP Webinar: https://www.eventbrite.com/e/webinark...

Zoom link: https://us02web.zoom.us/j/82308186562

Related Links
O'Reilly Book: https://www.amazon.com/dp/1492079391/
Website: https://datascienceonaws.com
Meetup: https://meetup.datascienceonaws.com
GitHub Repo: https://github.com/data-science-on-aws/
YouTube: https://youtube.datascienceonaws.com
Slideshare: https://slideshare.datascienceonaws.com