New York Open Statistical Programming Meetup
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December 14: Teaching Computers to Read: Maximizing Accuracy in High-Stakes Use Cases
This month we have Tim Cerino discussing how to maximize performance from LLMs.
Thank you to NYU for hosting us.
Everybody attending must RSVP through the registration form at nyhackr. There is a charge for in-person and virtual tickets are free.
Space is extremely limited and in-person registration closes at 3 PM the day of the talk.
About the Talk: LLMs are a transformational technology for working with unstructured data. That said, not all unstructured data use cases are the same. Generative AI is great at generation, but when a use case requires accurate information retrieval, contextual interpretation of complex passages, resolution of internal references, or coping with “world-builder” documents, success requires more nuanced workflows as well as a way to operationalize specific domain knowledge. We will work through real world examples, look at statistical measures of performance, and take detours through linguistics and pop music. At the end of the talk, you will come away with an understanding of the framework that lets top consulting firms achieve top performance on high value projects for top tier financial institutions.
About Tim: Tim is a consultant in the AI & Data practice at Accenture and formerly at KPMG. He focuses on high value engagements for financial institutions that are centered on challenges with reading and interpreting complex unstructured data. One of the principal architects of KPMG’s AI platform, KPMG Ignite, Tim has developed and delivered technology alongside collaborative ways of working across data science and domain experts to provide creative solutions to the most challenging problems that banks face. Tim holds patents on an AI platform used to deliver 150+ engagements plus three patents on AI-enabled, domain-specific client solutions.
Prior to consulting, Tim led derivatives solutions teams at Wall Street firms, focused on risk and capital solutions for financial services clients. Tim has spoken at numerous conferences, taught classes at Rockefeller University and Memorial Sloan Kettering, and contributed to “Teaching Machines to Read”, a recent book on artificial intelligence. He has an MA in Statistics from Columbia, and MBA from Columbia Business School, and a BA from Duke.
The venue doors open at 6:30 PM America/New_York where we will continue enjoying pizza together (we encourage the virtual audience to have pizza as well). The talk, and livestream, begins at 7:00 PM America/New_York.
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