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LLM App Store Analysis: A Vision and Roadmap

Authors :
Zhao, Yanjie
Hou, Xinyi
Wang, Shenao
Wang, Haoyu
Publication Year :
2024

Abstract

The rapid growth and popularity of large language model (LLM) app stores have created new opportunities and challenges for researchers, developers, users, and app store managers. As the LLM app ecosystem continues to evolve, it is crucial to understand the current landscape and identify potential areas for future research and development. This paper presents a forward-looking analysis of LLM app stores, focusing on key aspects such as data mining, security risk identification, development assistance, etc. By examining these aspects, we aim to provide a vision for future research directions and highlight the importance of collaboration among stakeholders to address the challenges and opportunities within the LLM app ecosystem. The insights and recommendations provided in this paper serve as a foundation for driving innovation, ensuring responsible development, and creating a thriving, user-centric LLM app landscape.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2404.12737
Document Type :
Working Paper