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| PyTorch 2.0 Update + Generative AI & Prompt-Chaining
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| With Matthias Reso (Applied AI & PyTorch, Meta), Chris Fregly & Antje Barth (Principal Dev Advocates, Amazon AWS), Heiko Hotz (Soln Architect AI/ML, Amazon AWS). |
| Venue, Online |
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Mar 20 (Mon) , 2023 @ 12:00 PM
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FREE |
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| DETAILS |
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Talk #0: Introductions & Meetup Announcements
By Chris Fregly & Antje Barth, Principal Developer Advocates, AI & machine learning @ AWS
Talk #1: PyTorch 2.0 update
By Matthias Reso, Applied AI & PyTorch @Meta
Talk #2: Generative AI & prompt-chaining
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 & 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 & 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/webinarkubeflow-tensorflow-tfx-pytorch-gpu-spark-ml-amazonsagemaker-tickets-45852865154
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
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