Speaker
Frank Mayet
(MXL (XFEL))
Description
This talk presents applications of Large Language Model (LLM)-powered tools for enhancing daily accelerator operation. First, an overview of LLM tools that utilize Retrieval Augmented Generation (RAG) techniques is provided, demonstrating how existing knowledge bases, such as electronic logbooks, can be leveraged. Additionally, an advanced ReAct prompting approach (Reasoning and Action) is introduced, enabling the development of interactive assistant agents with enhanced problem-solving capabilities.
Primary author
Frank Mayet
(MXL (XFEL))
