Explore the future of foundational models in AI with Alex Ratner, CEO of Snorkel AI, in this 53-minute podcast episode. Delve into the challenges and opportunities of implementing foundation models in enterprise settings, covering topics such as transfer learning, active learning, and labeling heuristics. Learn about Snorkel Flow Foundation Model Suite and its approach to optimizing AI/ML workflows. Gain insights on enterprise use cases, the integration of foundational models into Google products, and the progress in the field. Discover how Snorkel AI addresses cost, quality, and control gaps in AI implementation, and hear about the latest developments in AutoML and hosting infrastructure. This informative discussion also touches on venture capital in the AI space and provides valuable takeaways for professionals in the field.
Foundational Models in Enterprise AI - Challenges and Opportunities
Overview
Syllabus
[] Alex's preferred coffee
[] Introduction to Alex Ratner
[] Takeaways
[] Huge shoutout to our Sponsor, Snorkel AI!
[] Comment, rate us, and share our podcasts with your friends!
[] Transfer Learning / Active Learning
[] Labeling Heuristics paper on Nemo
[] Geocentric AI
[] Enterprise use cases on Foundational Models
[] Foundational Models into the different Google products
[] Progress in Foundational Models
[] AutoML Models Baseline Accuracy
[] Hosting Infrastructure Snorkel Float vs GCP
[] Chris Re's venture capital firm / incubator / machine
[] Wrap up
Taught by
MLOps.community
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