Details
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: PyTorch 2.0 update
By Matthias Reso, Applied AI and PyTorch @Meta
PyTorch 2.0 just got released:
https://pytorch.org/blog/pytorch-2.0-...
PyTorch 2.0 offers the same eager-mode development and user experience, while fundamentally changing and supercharging how PyTorch operates at compiler level under the hood with faster performance and support for Dynamic Shapes and Distributed.
Talk #2: Prompt chaining for large language models (LLMs)
By Heiko Hotz, Sr. Specialist Solution Architect AI/ML @ AWS
Although Large Language Models (LLMs) like ChatGPT are remarkable, they come with significant constraints such as knowledge cut-offs and hallucinations. While this may not be an issue for certain tasks, such as using them to generate imaginative content like a novel, there are times when customers and organisations require precise information from LLMs. Rather than conducting direct searches using tools like web search engines, they prefer to access this data via a unified interface, for example in a conversational style. In such cases, the accuracy of the underlying LLM is critical.
In this talk, we will demonstrate how to overcome these limitations, allowing you to harness the full potential of LLMs, by using a technique called prompt chaining.
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