Where is AI headed? A brief summary in research progress in large language models.
March 2025
IEEE CTS LMAG AND CTCN
This is the first March meeting which is virtual only.
| Topic | Where is AI headed? A brief summary in research progress in large language models. |
| Abstract | Over the past 5 years, large language models (LLMs) have gone from struggling with elementary school math to acing college math and science exams. How did we get here, and what’s coming next? |
| Speaker | Eric Price email: ecprice@cs.utexas.edu |
| Speaker’s bio | Eric Price is an Associate Professor in the Department of Computer Science at the University of Texas at Austin since the Fall of 2014. Eric was awarded a Ph D degree from MIT in 2013. He was a post-doc at the Simon Institute for the Theory of Computing in UC Berkeley from 2013 to 2014. He also served as a visiting scientist for Microsoft AI, Google, OpenAI and IBM Research over the years. He is a top researcher/scientist/professor in AI LLM. Eric’s research explores the fundamental limits of data-limited computational problems. How efficiently can we recover signals from noisy samples? And how much space do we need to compute functions of large data streams? His work has given algorithms with tight, or near-tight, sample complexities for a variety of such problems, along with corresponding lower bounds. |
| Date & Time | March 25, 2025, 18:30pm – 20:00pm CST |
| Location | |
| Virtual | Zoom ID: 604 353 3501 Passcode will be provided to registrants late |
| Presentation | |
| Reservation | |
| Registration | https://events.vtools.ieee.org/m/476477 |
