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Webinar series

Bridging the Last Mile: Applying Foundation Models with Data-Centric AI

August 23, 2023 | 11:00 AM - 12:00 PM Pacific Time

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Large language models (LLMs) and Foundation models (FMs) represent one of the most powerful new ways to build AI models; however, they still struggle to achieve production-level accuracy “out of the box” on complex, high-value, and/or dynamic use cases, often “hallucinating” facts, propagating data biases, and misclassifying domain-specific edge cases. This “last mile” problem is always the hardest part of shipping production AI applications, especially in the enterprise and while FMs provide powerful foundations, they do not “build the house”.

In this webinar, Snorkel AI CEO and co-founder Alex Ratner will take live audience questions and provide an overview of how solving the “last mile” problem is increasingly all about the data and provide data-centric approaches you can use to adapt LLMs to your specific use case or to build custom, domain-specific LLMs with your data.

About the Presenters

Photo of Alex Ratner, Co-founder and CEO, Snorkel AI

Alex Ratner

CEO and Co-founder
Snorkel AI

Alex Ratner is the co-founder and CEO at Snorkel AI, and an Affiliate Assistant Professor of Computer Science at the University of Washington. Prior to Snorkel AI and UW, he completed his Ph.D. in CS advised by Christopher Ré at Stanford, where he started and led the Snorkel open source project, and where his research focused on applying data management and statistical learning techniques to emerging machine learning workflows such as creating and managing training data and applying this to real-world problems in medicine, knowledge base construction, and more. Previously, he earned his A.B. in Physics from Harvard University.

We look forward to seeing you!

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