LLM-Based Policy Generation for Intent-Based Management of Applications
Author:
Affiliation:
1. University of Toronto,Department of Electrical and Computer Engineering,Toronto,Ontario
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10327686/10327788/10327837.pdf?arnumber=10327837
Reference23 articles.
1. Chat-IBN-RASA: Building an Intent Translator for Packet-Optical Networks based on RASA
2. Using Machine Learning for Intent-based provisioning in High-Speed Science Networks
3. MEF Standard (95), Policy Driven Orchestration (PDO);Metro Ethernet Forum,2021
4. To All Intents and Purposes: Towards Flexible Intent Expression
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1. Exploring Large Language Models in Intent Acquisition and Translation;2024 IEEE 10th International Conference on Network Softwarization (NetSoft);2024-06-24
2. Towards Intent-based Network Management for the 6G System adopting Multimodal Generative AI;2024 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit);2024-06-03
3. The Evolution of Large Language Model: Models, Applications and Challenges;2024 International Conference on Current Trends in Advanced Computing (ICCTAC);2024-05-08
4. Towards Intent-based Configuration for Network Function Virtualization using In-context Learning in Large Language Models;NOMS 2024-2024 IEEE Network Operations and Management Symposium;2024-05-06
5. S-Witch: Switch Configuration Assistant with LLM and Prompt Engineering;NOMS 2024-2024 IEEE Network Operations and Management Symposium;2024-05-06
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