维加:用于物联网控制和开发的LLM驱动智能聊天机器人平台
Harith Al-Safi1, Harith Ibrahim1, Paul Steenson1
1School of Electronics and Electrical Engineering, University of Leeds, Leeds LS2 9JT, UK.
Sensors (Basel, Switzerland)
|June 27, 2025
概括
大型语言模型 (LLM) 能够通过自然语言直观地控制物联网 (IoT) 设备. 这个系统,Vega,减少了对物联网和嵌入式系统 (ESys) 专门编程的需求.
科学领域:
- 人工智能的人工智能
- 物联网 (IoT) 的物联网 (IoT) 的物联网.
- 嵌入式系统 (ESys) 是一个
背景情况:
- 大型语言模型 (LLM) 已经改变了自然语言处理 (NLP).
- 它们在物联网 (IoT) 和嵌入式系统 (ESys) 中的应用尚未得到充分探索.
- 现有的物联网接口通常需要技术专业知识,限制了用户的可访问性.
研究的目的:
- 介绍Vega,一个使用LLM进行物联网设备自然语言控制的模块化系统.
- 通过LLM解释用户命令来展示与硬件的直观交互.
- 为了减少物联网和ESys应用程序的编程复杂性.
主要方法:
- 开发了一个带有物理电路 (传感器,执行器) 的系统,一个Raspberry Pi (RPi) 控制服务器,以及一个具有LLM逻辑的Web应用程序.
- 用户通过自然语言进行交互;LLM翻译用于RPI执行的命令.
- RPi在物理电路上执行指令;结果通过LLM生成的响应传递给用户.
主要成果:
- 维加成功地解释和执行物联网设备的自然语言命令.
- 该系统处理复杂和条件逻辑,而不需要额外的RPI编码.
- 在各种任务和场景中实证评估验证了系统性能.
结论:
- 通过LLM驱动的物联网控制可以弥合复杂的功能和用户友好性之间的差距.
- 维加为更具创造性和智能的物联网应用提供了一条途径.
- 提供了关于设计和实施LLM集成物联网接口的见解.
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