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Open Access

Exploring the Frontier of Generative AI: Evolution, Applications, and Future Trends

Xiaofang Sun1,2( )Wei He1,2
Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, Jinan 250101, China
School of Software, Shandong University, Jinan 250000, China
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Abstract

Generative Artificial Intelligence (AI) technology, a significant branch within the AI field, holds immense application potential and exerts profound influence. This paper reviews the origins and evolution of generative AI technology, analyzes the development and transformation of core techniques, examines the implementation of application scenarios, and explores the challenges and opportunities it faces. It provides insights into future development by analyzing the current Transformer-based technical systems and four emerging trends in technological transformation. The development of generative AI technology faces challenges in data resources and privacy protection, among other aspects. The future development of generative artificial intelligence requires close attention to building a green, healthy, and safe artificial intelligence ecosystem, closely linking the development needs of various fields of society, and effectively meeting human well-being.

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International Journal of Crowd Science
Pages 269-277

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Cite this article:
Sun X, He W. Exploring the Frontier of Generative AI: Evolution, Applications, and Future Trends. International Journal of Crowd Science, 2025, 9(4): 269-277. https://doi.org/10.26599/IJCS.2024.9100032

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Received: 19 September 2023
Revised: 19 July 2024
Accepted: 06 October 2024
Published: 10 December 2025
© The author(s) 2025.

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).