[] Comment, rate us, and share our podcasts with your friends!
6
[] Transfer Learning / Active Learning
7
[] Labeling Heuristics paper on Nemo
8
[] Geocentric AI
9
[] Enterprise use cases on Foundational Models
10
[] Foundational Models into the different Google products
11
[] Progress in Foundational Models
12
[] AutoML Models Baseline Accuracy
13
[] Hosting Infrastructure Snorkel Float vs GCP
14
[] Chris Re's venture capital firm / incubator / machine
15
[] Wrap up
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Grab it
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