The rapid evolution of network technologies and the growing complexity of network tasks necessitate a paradigm shift in how networks are designed, configured, and managed. With a wealth of knowledge and expertise, large language models (LLMs) are one of the most promising candidates. This paper aims to pave the way for constructing domain-adapted LLMs for networking. Firstly, we present potential LLM applications for vertical network fields and showcase the mapping from natural language to network language. Then, several enabling technologies are investigated, including parameter-efficient finetuning and prompt engineering. The insight is that language understanding and tool usage are both required for network LLMs. Driven by the idea of embodied intelligence, we propose the ChatNet, a domain-adapted network LLM framework with access to various external network tools. ChatNet can reduce the time required for burdensome network planning tasks significantly, leading to a substantial improvement in efficiency. Finally, key challenges and future research directions are highlighted.

Huang Yudong

Du Hongyang

Zhang Xinyuan

Niyato Dusit

Kang Jiawen

Xiong Zehui

Wang Shuo

Huang Tao

IEEE Network

该杂志涵盖的主题包括：网络协议和架构；协议设计和验证；通讯软件；网络控制、信令和管理；网络实施（LAN、MAN、W​​AN）；和微主机通信。

The IEEE Network journal covers topics including network protocols and architectures, protocol design and verification, communication software, network control, signaling and management, network implementation (LAN, MAN, WAN), and micro-host communication.

《IEEE Network》杂志涵盖的主题包括网络协议和架构、协议设计与验证、通讯软件、网络控制、信令与管理、网络实施（包括局域网、城域网和广域网）以及微主机通信等领域。

Large Language Models for Networking: Applications, Enabling Techniques, and Challenges

The ChatNet is proposed, a domain-adapted network LLM framework with access to various external network tools that can reduce the time required for burdensome network planning tasks significantly, leading to a substantial improvement in efficiency.

Category	Quartile
计算机科学	2
计算机科学, 计算机硬件	1
计算机科学, 计算机信息系统	2
计算机科学, 工程电子与电气	2
计算机科学, 电信学	2

Large Language Models for Networking: Applications, Enabling Techniques, and Challenges

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