摘要
1.Introduction Traditional artificial intelligence(AI)strategies,reliant on manually crafted patterns or task-specific feature representations,often suffer from overfitting and struggle with the dynamic nature of real-world scenarios.In contrast,the current AI landscape is witnessing a significant departure from conventional methods,exemplified by the rise of generative and large models like Chat Generative Pre-Trained Transformer(ChatGPT).They not only offer broad functionalities for diverse applications but are also designed for intuitive interpretation,application,and adaptability to emerging tasks and domains.
基金
supported by the National Natural Science Foundation of China(Grant Nos.52221005 and 52220105001)
as well as VINNOVA(Grant No.2022-02828).
