#GenerativeAI #AIModels #AITools Kirill Eremenko and Hadelin de Ponteves, AI educators whose courses have been taken by over 3 Million students, sit down with Jon Krohn to take you behind the scenes of foundation models. Together, they break down how these advanced AI models are being used to solve real-world challenges, from streamlining operations to creating customized solutions for unique business needs. Learn about the eight-step lifecycle of foundation models, clever ways to fine-tune and deploy them, and how tools like AWS Bedrock and SageMaker can simplify the process. 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. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: • (00:00:00) Introduction • (00:05:09) What are foundation models? • (00:14:36) Overview of the foundation model lifecycle: 8 main steps. • (00:28:45) Criteria for selecting the right foundation model for business use. • (00:40:27) Exploring methods to customize foundation models. • (00:51:49) Techniques to modify foundation models during deployment or inference. • (01:09:50) Introduction to AWS generative AI tools like Amazon Q, Bedrock, and SageMaker. Additional materials: www.superdatascience.com/853