More than 80 participants attended a dynamic half-day workshop exploring how large language models (LLMs) can accelerate scientific discovery across disciplines. The workshop, Boosting Research with LLMs, was held April 1 in the Technology Square Research Building’s ballroom and was co-sponsored by the Institute for People and Technology (IPaT) and the Institute for Data Engineering and Science (IDEaS).

The workshop presented three expert-led panels to uncover practical applications of LLMs for engineers, natural scientists, computer scientists, and social scientists-transforming the way they analyze data, generate insights, and advance research.

The workshop was designed for beginners and required no prior experience with LLMs, making it a unique opportunity to explore cutting-edge Al tools that can enhance research capabilities. The event was open to Georgia Tech faculty, graduate students, researchers and staff. 

"The LLM workshop drew in participants with a wide range of interests,” said David Sherrill, Regents’ Professor in the School of Chemistry and Biochemistry, and interim executive director of IDEaS.  “It was exciting to hear how LLMs are being used by students and faculty to accelerate their research in science, engineering, and social sciences."

View the agenda and the thirteen presenters >>