5G专网部署AI大模型能力的研究
Research on the Ability of Deploying LLM in 5G Private Networks
聂磊 1朱立标 1詹晓航1
作者信息
- 1. 中国移动通信集团广东有限公司广州分公司,广东广州 510335
- 折叠
摘要
为满足行业终端安全接入组织专网的移动性需求,能随时以自然语言交流方式实现行业应用与知识库的人机交互,文章对5G专网和交互式AI模型应用部署进行研究,阐述了在5G专网中部署行业AI大模型能力的解决方案,通过网络切片、安全策略和边缘云计算的部署方案解决网络安全和信息交互时延等问题,从而拓展5G专网在AI领域的应用场景,保障行业信息和敏感数据,提升工作效率.
Abstract
In order to meet the mobility needs of industry terminals for secure access to the pri-vate network of the organization,and to realize human-computer interaction between industry applications and the knowledge base at any time in the way of natural language communication,this paper studies the application deployment of 5G private network and AI Large Language Models(LLM),describes the solution to deploy the industry AI LLM capability in 5G private network,and solves the problems of network security and information interaction delay through the deployment of network slicing,security strategy and MEC,Thus expanding the application scenarios of 5G private networks in the AI field,ensuring industry information and sensitive da-ta,and improving work efficiency.
关键词
5G/5G专网/MEC/AI/大语言模型/聊天机器人Key words
5G/5G private networks/MEC/AI/LLM/Chabot引用本文复制引用
出版年
2024
NETL
NSTL
万方数据