Related papers: Enhancing the development of Cherenkov Telescope Array control software with Large Language Models

Enhancing the development of Cherenkov Telescope Array control software with Large Language Models

URL: http://arxiv.org/abs/2510.01299v1
Date: Wed, 01 Oct 2025 14:14:41 GMT
Title: Enhancing the development of Cherenkov Telescope Array control software with Large Language Models
Authors: Dmitriy Kostunin, Elisa Jones, Vladimir Sotnikov, Valery Sotnikov, Sergo Golovachev, Alexandre Strube,
Abstract summary: We develop AI agents based on instruction-finetuned large language models (LLMs) to assist in the engineering and operation of the Cherenkov Telescope Array Observatory (CTAO)<n>These agents align with project-specific documentation and interact with external APIs, and communicate with users in natural language.
Score: 35.18016233072556
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Abstract: We develop AI agents based on instruction-finetuned large language models (LLMs) to assist in the engineering and operation of the Cherenkov Telescope Array Observatory (CTAO) Control and Data Acquisition Software (ACADA). These agents align with project-specific documentation and codebases, understand contextual information, interact with external APIs, and communicate with users in natural language. We present our progress in integrating these features into CTAO pipelines for operations and offline data analysis.

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