Cloud-Based AI Solutions: Leveraging Large Language Models for Enhanced Network Management

Abstract

The integration of artificial intelligence (AI) and large language models (LLMs) into cloud-based solutions offers significant potential for enhancing network management. This paper explores how LLMs can be leveraged to optimize various aspects of network management, including performance monitoring, fault detection, resource allocation, and security. By utilizing the advanced natural language processing capabilities of LLMs, cloud-based AI solutions can provide more accurate diagnostics, predictive maintenance, and automated decision-making processes. The study highlights the key benefits, challenges, and practical applications of deploying LLMs in network management. Through case studies and experimental results, we demonstrate the effectiveness of LLM-driven approaches in improving the efficiency, reliability, and scalability of cloud networks. This research aims to provide insights into the future of network management, emphasizing the transformative potential of AI and LLMs in creating more intelligent and responsive cloud infrastructure.