This is Ground Truth, a series of interesting conversations with the brightest minds in AI, ML, and data science.
On Thursday, July 6th, we will be hosting our next event—both at Arthur's NYC HQ and livestreamed on Zoom—about the future of LLMs and the experience of building successful AI companies that leverage open source.
Topic: The Future of LLMs with Arthur, MosaicML, LangChain, and Weaviate
Date: Thursday, July 6, 2023
Time: Doors at 5:00 PM ET; panel/virtual event will begin at 5:30 ET
Location: Arthur HQ (166 Crosby St.) (The Zoom link will be sent out closer to the event date for those joining virtually.)
Panel:
- Moderator: Alex Konrad (Senior Editor, Forbes)
- Angela McNeal (Ex-Palantir AI, Co-Founder & CEO)
- Bob van Luijt (Co-Founder & CEO, Weaviate)
- Harrison Chase (CEO, LangChain)
- John Dickerson (Co-Founder & Chief Scientist, Arthur)
Fireside Chat:
- Adam Wenchel (Co-Founder & CEO, Arthur)
- Jonathan Frankle (Chief Scientist, MosaicML)
NOTE: Due to capacity constraints, we can only accommodate a certain number of attendees in person for this event. We will get back to you at least 24 hours before the event to let you know if we are able to accommodate you in person. If not, we would love for you to join us virtually!
A big thanks to our co-hosts/sponsors:
Meet the speakers:
Adam Wenchel
FIRESIDE CHAT
Adam Wenchel is the co-founder and CEO of Arthur, and has 20+ years of experience in the artificial intelligence, machine learning, and software development spaces.
Prior to founding Arthur, he founded and acted as CEO for Anax Security, a DC-based startup focused on ML for large-scale defensive cybersecurity. After Anax’s acquisition by Capital One, Adam served as Capital One’s VP of AI & Data Innovation. There, Adam helped bring AI observability, fairness, and explainability to high-value areas such as credit, UX, cybersecurity, marketing, fraud & financial crimes monitoring, and operations automation.
Alex Konrad
PANEL MODERATOR
Alex Konrad is a Senior Editor at Forbes covering venture capital, startups and tech out of New York. He is the editor of the Midas List and 30 Under 30 List for VC, and the creator of the Midas List Europe and the Cloud 100 List. He has written cover stories on leaders including Patrick Collison, Satya Nadella and Melanie Perkins, among others, and profiled a number of AI companies.
Angela McNeal
PANELIST
Angela McNeal is the CEO and co-founder of an AI start-up in stealth. She is an accomplished product leader in the field of artificial intelligence, and most recently served as Palantir Foundry’s Head of AI Product. Angela is known for her advocacy of data privacy, responsible AI, and ethical data handling, shaping policies and AI best practices within Palantir. Prior to Palantir, Angela worked at Goldman Sachs and holds a degree in Computer Science with an Applied Mathematics minor from Columbia University Fu Foundation School of Engineering and Applied Sciences in New York.
Bob van Luijt
PANELIST
Bob van Luijt is a Dutch technology entrepreneur, most commonly known as CEO and co-founder of the open-source vector database Weaviate. He started his first software business in 2001 and holds a bachelor's degree from the Artez Institute of the Arts. Bob frequently speaks on open-source, digital technology, and software business. He has spoken at numerous events worldwide, including TEDxUniversiteitVanAmsterdam, where he delivered a TEDx talk on how the evolution of language impacts ideas in software development.
Harrison Chase
PANELIST
Harrison Chase is the CEO and co-founder of LangChain, a company formed around the open source Python/Typescript packages that aim to make it easy to develop Language Model applications.
Prior to starting LangChain, he led the ML team at Robust Intelligence (an MLOps company focused on testing and validation of machine learning models), led the entity linking team at Kensho (a fintech startup), and studied stats and CS at Harvard.
John Dickerson
PANELIST
John Dickerson is Arthur's Chief Scientist as well as an Associate Professor of Computer Science at the University of Maryland. He works at the intersection of machine learning and economics, with a focus on designing incentives that promote "good" participation in complex systems.
His research centers on solving practical economic problems using techniques from computer science, stochastic optimization, and ML. He received his PhD in computer science from Carnegie Mellon University (SCS CSD PhD '16).
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