Research on the Evolution of Generative Artificial Intelligence Technology Based on Literature Association
[Objective/Significance]The advent of Generative Artificial Intelligence(AIGC)marks a new industrial revolution,with nations around the world engaging in the competitive race to advance AIGC technology.Understanding the essence and characteristics of AIGC technology is vital for responding to its growth.[Methods/Processes]This study adopts a multi-dimensional perspective to identify the evolutionary pathways of AIGC technology.The YAKE-Apriori algorithm is designed to identify cutting-edge technologies and path evolution,illuminating the directions of technological development.First,the YAKE method is applied to extract key technologies and visualize literature.Then,the Apriori algorithm is utilized to analyze the associations between key technologies,thereby revealing the underlying patterns of technological evolution.Finally,the study delineates the trajectory of technology evolution through an analysis of key technologies and their foundational bases,pinpointing the hierarchical relationships within technological development.[Results/Conclusions]Focusing on AIGC,this study successfully identifies relevant technologies such as GAN,Transformer,and Diffusion,along with four primary developmental stages.These insights are crucial for grasping AIGC's trajectory and affirm the effectiveness of YAKE-Apriori method in tracking the progress of emerging technologies.
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