标题： 利用大型语言模型增强切连科夫望远镜阵列控制软件的开发 显示英文标题

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

摘要： 我们基于指令微调的大规模语言模型（LLMs）开发人工智能代理，以协助切连科夫望远镜阵列观测站（CTAO）控制和数据获取软件（ACADA）的工程和操作。这些代理与项目特定的文档和代码库保持一致，理解上下文信息，与外部API交互，并以自然语言与用户沟通。我们介绍了将这些功能集成到CTAO操作和离线数据分析流程中的进展。 显示英文摘要

摘要： 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.