NOTICE: Due to a lapse in annual appropriations, most of this website is not being updated. Learn more.
Form submissions will still be accepted but will not receive responses at this time. Sections of this site for programs using non-appropriated funds (such as NVLAP) or those that are excepted from the shutdown (such as CHIPS and NVD) will continue to be updated.
An official website of the United States government
Here’s how you know
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
This paper presents a network management AI assistant built with Large Language Models. It adapts at runtime to the network state and specific platform, leveraging techniques like prompt engineering, document retrieval, and Knowledge Graph integration. The AI assistant aims to simplify management tasks and is easily reproducible with available source code.
Conference Dates
May 6-10, 2024
Conference Location
Seoul, KR
Conference Title
IEEE/IFIP Network Operations and Management Symposium
Abane, A.
, Battou, A.
and Merzouki, M.
(2024),
An Adaptable AI Assistant for Network Management, IEEE/IFIP Network Operations and Management Symposium, Seoul, KR
(Accessed October 10, 2025)