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{Seminar} @ CDS: 11th January : “LLMs-as-a-Service: Harnessing the power of Foundation Models for Challenging Reasoning Problems.”
11 Jan @ 3:30 PM -- 4:30 PM
Department of Computational and Data Sciences
Department Seminar
SPEAKER : Dr. Ashwin Kalyan
TITLE : “LLMs-as-a-Service: Harnessing the power of Foundation Models for Challenging Reasoning Problems.”
Date & Time : January 11, 2023, 03:30 PM.
Venue : The Seminar will be held on HYBRID Mode # 102 CDS Seminar Hall /MICROSOFT TEAMS.
Please click on the following link to join the Seminar.
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ABSTRACT
AI systems built on top of foundation models achieve state-of-the-art performance on a wide range of tasks making them the one of the most versatile and dependable AI technology. However, even for these systems, hard reasoning problems — ones that require mathematical and algorithmic reasoning in addition to more general skills like language understanding, commonsense reasoning and computer vision — pose a significant challenge. First, I will discuss the successes and limitations of state-of-the-art LLMs on hard reasoning problems like fermi problems and challenging math word problems — encouraging the broader AI community to address this challenge in AI reasoning. Next, I propose “LLMs-as-a-Service”, a compositional and neuro-symbolic strategy to develop the next generation of AI solutions that achieve best-of-both-worlds — harness the capacity of powerful foundational models while at the same time overcoming their shortcomings in producing well-reasoned, consistent answers.
BIOGRAPHY
Ashwin Kalyan is a scientist connecting AI, innovation and research. He led and contributed to research projects and technologies that have resulted in new perspectives of integrating AI systems with practice (e.g., neuro-symbolic approaches for program synthesis, novel decoding strategies for language models) that have impacted industry practices in addition to the wider research community. Currently, he is a researcher at the Allen Institute of Artificial Intelligence where he investigates the abilities and limitations of foundation models, especially in the context of hard reasoning problems that require mathematical and algorithmic reasoning. He has authored 20+ publications in top-tier AI conferences (e.g. NeurIPS, ICML, CVPR, ACL, EMNLP) and was recognized by the prestigious JP Morgan PhD Fellowship. He obtained his PhD from Georgia Institute of Technology and prior to that, B.Tech from National Institute of Technology Karnataka.
He started the “student researcher” program at AI2, a research apprenticeship initiative that nurtures scientific talent by providing aspiring researchers (including undergraduate and PhD students) a peek into cutting-edge AI research. He serves as the technical advisor for Youth for Creativity and Excellence (YCEF), a privately funded non-profit organization that promotes scientific, cultural and creative pursuits in India.
Host Faculty: Prof. Soumyendu Raha