Choosing the Right Foundation Models for Generative AI

Kirill Eremenko and Hadelin de Ponteves AI educators, whose courses have been taken by over 3 Million students, sit down with Jon Krohn to talk about how foundation models are transforming businesses. From real-world examples to clever customization techniques and powerful AWS tools, they cover it all.

bravotech.ai - Partner with Kirill & Hadelin for GenAI implementation and training in your business. Mention the “SDS Podcast” in your inquiry to start with 3 complimentary hours of consulting.

This episode is brought to you by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

• (07:00) What are foundation models?
• (15:45) Overview of the foundation model lifecycle: 8 main steps.
• (29:11) Criteria for selecting the right foundation model for business use.
• (41:35) Exploring methods to customize foundation models.
• (53:04) Techniques to modify foundation models during deployment or inference.
• (01:11:00) Introduction to AWS generative AI tools like Amazon Q, Bedrock, and SageMaker.

Additional materials: www.superdatascience.com/853