![Bites of FM4S: [2] LLMs for experiments in fundamental physics](/event/1543967/logo-1303698739.png){kind=logo}
Speakers
Beijiang Liu
Changzheng YUAN
Ke Li
(Chinese Academy of Sciences (CN))
Zhengde Zhang
(中国科学院高能物理研究所)
Description
The data processing and analyzing is one of the main
challenges at HEP experiments. To accelerate the physics
analysis and drive new physics discovery, the rapidly
developing Large Language Model (LLM) is the most promising
approach, it have demonstrated astonishing capabilities in
recognition and generation of text while most parts of physics
analysis can be benefitted. In this talk we will discuss the
construction of a dedicated intelligent agent, an AI assistant
names Dr.Sai at BESIII based on LLM, the potential usage to
boost hadron spectroscopy study, and the future plan towards a
AI scientist.
| Theme of discussion | LLMs for operations |
|---|
