The Teaching, Learning and Technology Roundtable (TLTR) Artificial Intelligence Committee
will host a workshop, TLTR AI Committee Speaker Series: AI 101, at 12:30 to 1:45 p.m., Wednesday, November 12, in the Bishop Dougherty University
Center, Room 206. The event, open to students and faculty, will feature alumnus Joshua
Meyer ‘12, an AI leader working at the intersection of language, data and machine
learning.
In this one-hour interactive workshop, faculty and students will receive a friendly introduction to how large language
models (LLMs) work, starting from the basics of how they predict text and progressing
to their role as helpful digital assistants. Meyer will explain how these models react
to user prompts and how to use them effectively and responsibly. The session will
also address typical AI “quirks,” such as hallucinations and demonstrate practical
ways to make academic and professional work more efficient through AI-supported methods.
Meyer holds a Ph.D. in automatic speech recognition from the University of Arizona
and a B.A. in liberal studies from Seton Hall University. Over the past decade, he has worked across startups,
non-profits and large companies, from co-founding the generative voice AI company
Coqui to leading applied AI at Rabbit. He now builds simulation environments for training
large language model agents at Veris AI and helps new ventures turn research into
real products.
The TLTR Artificial Intelligence Committee, co-chaired by Ruchin Kansal, M.B.A., and Jessica Rauchberg, Ph.D., researches the effects of AI on higher education, supports policy development, curates
best practices for integration and explores implications for the future workplace.
The committee is part of the broader Teaching, Learning, and Technology Roundtable, which was founded in 1995 to enhance teaching and learning through the effective
use of technology and to encourage collaboration among faculty, students and administrators.
Register now for the event, seats are limited.
Categories:
Alumni, Science and Technology
