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Managing Linux servers with LLM-based AI agents: An empirical evaluation with GPT4

This paper presents an empirical study on the application of Large Language Model (LLM)-based AI agents for automating server management tasks in Linux environments. We aim to evaluate the effectiveness, efficiency, and adaptability of LLM-based AI agents in handling a wide range of server managemen...

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Bibliografische Detailangaben
Hauptverfasser: Charles Cao, Feiyi Wang, Lisa Lindley, Zejiang Wang
Format: Artigo
Sprache:Inglês
Veröffentlicht: Elsevier 2024-09-01
Schriftenreihe:Machine Learning with Applications
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Online-Zugang:http://www.sciencedirect.com/science/article/pii/S266682702400046X
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