Since the beginning of this year, generative artificial intelligence technology has developed rapidly, its application scenarios have been continuously expanded, and the industrial ecosystem has been continuously improved. While bringing new opportunities to economic and social development, it has also raised issues such as spreading false information, infringing on personal information rights, data security, and biased discrimination. Strengthening supervision and guiding the standardized development of the industry. Recently, the national level has intensively introduced regulatory policies targeting artificial intelligence. On April 28th, the Political Bureau of the Central Committee of the Communist Party of China proposed to attach importance to the development of universal artificial intelligence, create an innovative ecosystem, and pay attention to risk prevention; On July 13th, the National Cyberspace Administration, in collaboration with the National Development and Reform Commission, the Ministry of Education, the Ministry of Science and Technology, the Ministry of Industry and Information Technology, the Ministry of Public Security, and the State Administration of Radio, Film and Television, announced the "Interim Measures for the Management of Generative Artificial Intelligence Services", proposing to take effective measures to encourage the innovative development of generative artificial intelligence, and to implement inclusive, prudent, and classified and graded supervision of generative artificial intelligence services. At the local level, relevant policies have also been introduced to promote the standardized development of artificial intelligence. Beijing has proposed to explore inclusive and prudent supervision of the artificial intelligence industry, continue to promote innovation in regulatory policies and processes, conduct security assessments, promote algorithm filing, guide innovative entities to establish security awareness, and establish security prevention mechanisms; Shenzhen proposes to establish a sound, open and transparent artificial intelligence regulatory system, carry out supervision in accordance with the law, regulations, inclusiveness, and prudence, establish risk prevention and response mechanisms around areas such as network security, data security, technology ethics, and employment promotion, prevent and crack down on illegal activities, and guide the healthy development of artificial intelligence related enterprises and organizations. Artificial intelligence is a double-edged sword that has long become a global consensus. The 2023 Artificial Intelligence Index Report released by Stanford University mentioned that the results of a survey of legislative records in 127 countries showed that the number of bills containing "artificial intelligence" passed into law increased from only 1 in 2016 to 37 in 2022. We need to strengthen the security governance of artificial intelligence, starting from multiple aspects such as data security, network security, algorithm security, and computing power security, to achieve the positive promoting effect of artificial intelligence on the economy and develop a responsible artificial intelligence industry. "said Zhu Minghao, Executive Director of the China High end Manufacturing Industry Research Center at Beijing Jiao Tong University. In fact, the development of large models is not only based on the three major elements of data, computing power, and algorithms, but also in the process of continuous optimization and training, security issues cannot be ignored. In the eyes of Zhou Hongyi, the founder of 360 Group, the artificial intelligence big model is like a double-edged sword. Nowadays, the security issues of big models have surpassed content security. Accelerate the implementation of application scenarios, joint iteration innovation. Currently, the development of large models is still in a stage of rapid change and continuous innovation. To better seize the development opportunities of large models and truly leverage their advantages, in addition to strengthening supervision and preventing technical risks, innovation should also be strengthened to accelerate the implementation in more business scenarios. Currently, most of the investors in training are primary school students, without graduate students. In this situation, each company has limited computing power and insufficient data. "Huang Tiejun, Dean of Beijing Zhiyuan Artificial Intelligence Research Institute and Professor of Peking University, previously stated at the 2023 China Internet Conference that the big model issue