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Lecture Series In AI
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| With Danqi Chen (Prof. CS, Princeton). |
| Columbia University, 530 W 120th St, Davis Auditorium, New York
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Dec 06 (Fri) @ 10:30 AM
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FREE |
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/-73.96073151,40.80956268,13,0,0/550x200?access_token=pk.eyJ1IjoiZ2FyeXNndWlkZSIsImEiOiJjamtobmRiYmgwb3gwM3F1a2o2Mmd0YWw3In0.DinA62CR3-OKtf3axa5O7Q)
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| DETAILS |
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You are invited to participate in the next installment of Columbia Engineering's Lecture Series in AI with Dr. Danqi Chen, Assistant Professor of Computer Science at Princeton University & Associate Director of Princeton Language & Intelligence, as she presents Training Language Models in Academia: Research Questions & Opportunities.
EVENT DETAILS
Schedule
10:30AM-11:00AM Registration
11:00AM-12:00PM Lecture
Advance registration is required for both Columbia affiliates & non-affiliates.
Venue
Join us on Columbia University's Morningside Campus in New York City. Campus map/directions/parking
ABOUT THE LECTURE
Large language models have emerged as transformative tools in artificial intelligence, demonstrating unprecedented capabilities in understanding & generating human language. While these models have achieved remarkable performance across a wide range of benchmarks & enabled groundbreaking applications, their development has been predominantly concentrated within large technology companies due to substantial computational & proprietary data requirements. In this talk, I will present a vision for how academic research can play a critical role in advancing the open language model ecosystem, particularly by developing smaller yet highly capable models & advancing our fundamental understanding of training practices. Drawing from our research group's recent projects, I will examine key research questions & challenges in both pre-training & post-training stages. Our work spans developing small language models (Sheared LLaMA; 1-3B parameters), the state-of-the-art <10B model on Chatbot Arena (gemma-2-SimPO), & long-context models supporting up to 512K tokens (ProLong). These examples illustrate how academic research can push the boundaries of model efficiency, capability, & scalability. I will conclude by exploring future directions & highlighting opportunities to shape the development of more accessible & powerful language models.
ABOUT THE SPEAKERS
OPENING REMARKS
Remarks by Shih-Fu Chang, Dean, Columbia Engineering & Kathleen McKeown, Henry & Gertrude Rothschild Professor of Computer Science, Columbia Engineering
DISTINGUISHED LECTURER
Danqi Chen, Assistant Professor of Computer Science at Princeton University & Associate Director of Princeton Language & Intelligence
Danqi Chen is an Assistant Professor of Computer Science at Princeton University & co-leads the Princeton NLP group. She is also an Associate Director of Princeton Language & Intelligence. Her recent research focuses on training, adapting, & understanding large language models, especially with the goal of making them more accessible to academia. Before joining Princeton, Danqi was a visiting scientist at Facebook AI Research. She received her Ph.D. from Stanford University (2018) & her B.E. from Tsinghua University (2012), both in Computer Science. Her research was recognized by a Sloan Fellowship, an NSF CAREER award, a Samsung AI Researcher of the Year award, & outstanding paper awards from ACL & EMNLP.
ABOUT THE COLUMBIA ENGINEERING LECTURE SERIES IN AI
Columbia Engineering's Lecture Series in AI explores the most cutting-edge topics in artificial intelligence & brings to campus thinkers & leaders who are shaping tomorrow's technology landscape in a wide variety of fields. Join us to unravel the complexities & possibilities of AI in today's rapidly evolving world.
Campus Access
In accordance with the University's current visitor guidelines, all non-Columbia guests must be registered with Public Safety in order to access campus. If you do not have a CUID, you will receive a one-time-use QR code via email that must be presented for entry, along with a government-issued ID.
Accessibility
Columbia University makes every effort to accommodate individuals with disabilities. If you require disability accommodations to attend an event at Columbia University, please contact the Office of Disability Services at 212.854.2388 or access@columbia.edu.
Photography/Videography
Columbia Engineering reserves the right to capture & use images (including video, photo, audio) of student participants at this event in its current or future marketing materials. These materials include but are not limited to: social media, digital and/or print posters, email & web-based materials. By attending & participating in this event, you are consenting to having your image captured for these purposes. If you have concerns about your likeness being used, please reach out to engineeringcommunications@columbia.edu & we will accommodate your request.
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