Generative AI Use Cases & Deep-Dive - FoundersList

Talk #0: Introductions & Meetup Announcements By Chris Fregly, Principal Solution Architect & Antje Barth, Principal Developer Advocates, AI & machine learning @ AWS Talk #1: Amazon DataZone & Data Mesh By Joel Farvault, Principal Solutions Architect @ AWS Data & Analytics Use Amazon DataZone to share, search, & 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 & compliance policies. Talk #2: Generative AI use cases & 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 & real-world deployment considerations in production. We will cover: Guided Generative AI demos, git-hub examples & technical Q&A for public & proprietary models in SageMaker. Differences between various types of learning with these large language models, natural language understanding & generation tasks they can solve & what are the some of the common use cases that are aligned with these tasks.