Research to Production at Amazon Scale With PyTorch + Generative AI in action

Опубликовано: 10 Ноябрь 2024
на канале: Generative AI on AWS

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RSVP Webinar: https://www.eventbrite.com/e/webinark...

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

Talk #1: Research to Production at Amazon Scale With PyTorch
by Kiuk Chung, Principal Engineer @ Amazon

The M5 team at Amazon builds state-of-the-art semantic representations of Amazon-specific entities such as products, shopping sessions, and reviews which are used by various machine learning systems across Amazon. Due to the scale, dynamic, and diverse nature of Amazon’s AI use-cases, M5’s AI platform was designed to enable high velocity research and experimentation paired with low-friction productization. With PyTorch being the deep learning library of choice, we’ve built a Research to Production (R2P) stack servicing over a hundred teams at Amazon. In this session we dive into the journey of M5 from zero to success and discuss the challenges of using PyTorch on our infrastructure, the solutions we came up with, and lessons learned.

Talk #2: Generative AI in action
by Antje Barth, Principal Developer Advocate, AI/ML @ AWS

In this session, we will discuss recent innovations in AI/ML including generative AI models such as ChatGPT and its relatively-unknown sibling, InstructGPT. We will demo how to use Amazon CodeWhisperer to generate Python code and Amazon SageMaker to generate images using Stable Diffusion.

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