The application of AI big models is accelerating its implementation. On January 5th, the National Internet Information Office publicly released the third batch of domestic deep synthesis service algorithm filing lists, and 129 algorithms were filed. Prior to this, in June and September 2023, the National Internet Information Office issued the "List of Filing for Domestic Deep Synthesis Service Algorithms" and the "Information Announcement on the Filing of the Second Batch of Deep Synthesis Service Algorithms". A total of 151 algorithms were filed, covering the fields of virtual or 3D digital human synthesis, audio-visual image and text synthesis and generation, intelligent customer service, intelligent dialogue, intelligent education, etc. What changes will the AI big model bring to the industry? How to expand the application of large models based on the development characteristics of various industries? Many industry insiders believe that AI will reconstruct software development models, interaction methods, usage processes, and business models. Whether it is industrial software for research and development, management, production, or after-sales services, it will be upgraded with a large model, ultimately empowering thousands of industries; At the same time, we should further strengthen the foundation of artificial intelligence technology, focus on promoting breakthroughs in basic and original technologies such as large model algorithms and frameworks through major scientific and technological innovation projects, improve the computing power level of intelligent chips, strengthen the research and development of "root" technologies, promote the intelligent upgrading of key industries, deepen the integration and application of artificial intelligence technology in the entire process of various industries, expand characteristic application scenarios, and accelerate the "intelligent transformation and digital transformation", Forming real productivity. How to expand the unique application scenarios of AI big models? Taking the intelligent education industry as an example, Beijing Normal University Huang Ronghuai, Dean of the Institute of Intelligent Learning, believes that empowering education with AI big models requires targeted application in various aspects such as teaching texts and educational consultations. Xu Bin and Ren Wei, Professor of Computer Science at Tsinghua University and Director of the Computer Application Committee of the Chinese Computer Society, believe that the emergence of AI big models provides new tools for teachers, students and other groups in the education industry, who rely on the auxiliary content of scenario based applications To achieve better results, but also to cultivate students' AI literacy. In the process of empowering intelligent education, the training of data in AI big models has attracted much attention from the industry. "The AI big model is a product of the combination of 'big data+big computing power+strong algorithms', so the quality and quantity of training data are crucial." Squirrel AI Chairman Li Haoyang said that multi-modal big models should be used for application and development to achieve better performance in knowledge acquisition, information input, and information transmission; Through years of accumulated technical and industry experience in scenarios, data, algorithms, and other aspects, as well as sufficient training data, the generation ability and accuracy of the model are guaranteed, and the limitations of large models in students' professional knowledge and understanding ability are improved; It is also necessary to improve teaching efficiency based on knowledge graphs and MCM graphs, and fully utilize each child's personality, strengths, and potential advantages. Some industry insiders also believe that since 2023, artificial intelligence technologies represented by big language models and generative artificial intelligence have sparked a wave of technological and industrial innovation worldwide, opening up new prospects for the application of artificial intelligence in the field of big models. How to promote the deep integration of artificial intelligence technology with various industries such as education, and promote the transformation and innovation of industry enterprises