NIST - National Institute of Standards and Technology
07/03/2024 | Press release | Distributed by Public on 07/04/2024 03:05
An Adaptable AI Assistant for Network Management
Published
July 3, 2024
Author(s)
Amar Abane, Abdella Battou, Mheni Merzouki
Abstract
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.
Proceedings Title
NOMS 2024-2024 IEEE Network Operations and Management Symposium
Conference Dates
May 6-10, 2024
Conference Location
Seoul, KR
Conference Title
IEEE/IFIP Network Operations and Management Symposium
Pub Type
Conferences
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Keywords
LLMs, text embeddings, RAG, network management, knowledge graph, Neo4j, graph database
Citation
Abane, A. , Battou, A. and Merzouki, M. (2024), An Adaptable AI Assistant for Network Management, NOMS 2024-2024 IEEE Network Operations and Management Symposium, Seoul, KR, [online], https://doi.org/10.1109/NOMS59830.2024.10574957, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=957878 (Accessed July 4, 2024)
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