853: Generative AI for Business, with Kirill Eremenko and Hadelin de Ponteves

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

Om Podcasten

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.