Scholarlink

We propose to combine software agent methods with large language models, to automate the development of web-based dashboards for industrial applications. The research question is, how to define the necessary software architecture and components to transform diverse inputs, primarily natural language, into functional applications. Previous research has not addressed the concrete implementation for this specific use case. The principal consequence of this research is the demonstration and evaluation of a method for generation industrial dashboards from different inputs.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Large Language Model Based Agents for Generating Industrial Dashboards

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Robin Kimmel,
  • Jerome Pfeiffer,
  • Jingxi Zhang,
  • Andreas Wortmann

摘要

We propose to combine software agent methods with large language models, to automate the development of web-based dashboards for industrial applications. The research question is, how to define the necessary software architecture and components to transform diverse inputs, primarily natural language, into functional applications. Previous research has not addressed the concrete implementation for this specific use case. The principal consequence of this research is the demonstration and evaluation of a method for generation industrial dashboards from different inputs.