LLM App Store Analysis: A Vision and Roadmap

• URL: http://arxiv.org/abs/2404.12737v2
• Date: Mon, 18 Nov 2024 11:21:38 GMT
• Title: LLM App Store Analysis: A Vision and Roadmap
• Authors: Yanjie Zhao, Xinyi Hou, Shenao Wang, Haoyu Wang,
• Abstract summary: Large language model (LLM) app stores have created new opportunities and challenges for researchers, developers, users, and app store managers. This paper presents a forward-looking analysis of LLM app stores, focusing on key aspects such as data mining, security risk identification, development assistance, and market dynamics.
• Score: 5.1875389249043415
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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, and market dynamics. Our comprehensive examination extends to the intricate relationships between various stakeholders and the technological advancements driving the ecosystem's growth. We explore the ethical considerations and potential societal impacts of widespread LLM app adoption, highlighting the need for responsible innovation and governance frameworks. 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.

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