Empowering HEIs through LLMs and cloud computing: strategies for seamless integration and sustainable transformation

Abstract

Large Language Models (LLMs) have demonstrated significant potential to revolutionize higher education, prompting a need for strategic guidance on leveraging their benefits while addressing associated challenges [1]. This paper reaches into the critical role of cloud computing in enabling the smooth integration and sustainable transformation of Higher Education Institutions (HEIs) through LLMs. By examining the mutually beneficial relationship between LLMs and cloud technologies, this paper highlights how the cloud empowers HEIs to utilize the full potential of LLMs, overcoming challenges related to scalability, accessibility, and cost-effectiveness. The paper presents a comprehensive framework for the strategic integration of LLMs and cloud computing within HEIs, addressing key considerations such as data privacy, security, interoperability, and ethical governance. Through a systematic review of case studies and best practices, the paper offers actionable insights and recommendations for HEIs to navigate the