Recently, six departments jointly issued the "Action Plan for High Quality Development of Computing Power Infrastructure", which proposes to create a batch of new computing power businesses, models, and formats, and deepen the application of computing power empowerment industries. In recent years, as a representative of the implementation of computing power applications, generative artificial intelligence technology has been continuously developing, and various large model products have emerged. Massive application scenarios have become a high-quality "experimental field" for the development of artificial intelligence in China, accelerating the growth of a large number of new technologies, applications, and breakthroughs, unleashing the potential of computing power applications. At present, what is the development trend and application effect of domestic large models? How to implement and apply in more scenarios to better support the development of the real economy? What challenges are facing development? Since the beginning of this year, artificial intelligence has become a hot field in the global technology industry, with over a hundred companies and institutions releasing products related to large language models. The application of artificial intelligence in the field of large models has opened up new prospects. In this global competition, China is closely following the trend and at the forefront. The development of domestically produced large models has accelerated, and in just six months, they have stepped out of the laboratory and been tested by the public. According to the "Spark" of iFLYTEK, the "Hunyuan" of Tencent, and the "ERNIE Bot" of Baidu, there are at least 130 companies in China studying large-scale model products, including 78 general large-scale models. Not only big models, but new artificial intelligence technologies are accelerating their entry into various industries. Providing personalized recommendations for consumers, predicting weather, guiding mining production, helping programmers "write code", helping scientists "conduct scientific research"... Rich application scenarios fully demonstrate the power of artificial intelligence to empower industrial development and benefit life. What are the opportunities and challenges faced by Generative Artificial Intelligence (AIGC)? How to make the big model develop healthily and serve us better? In recent days, the reporter has visited many industry enterprises and experts to find answers. On August 31, the first batch of large-scale models, such as Baidu ERNIE Bot, Baichuan Intelligent, and Shangtang Shangtang SenseChat, which were filed through the Interim Measures for the Management of Generative Artificial Intelligence Services, announced their opening to the public. At the same time, more large models of enterprises are also rapidly being laid out and launched. The mass launch of domestically produced large models means that the "Hundred Model Battle" is moving from the previous stage of "birth" to a new stage of "use". The large model after opening up is even more popular. On August 31, the first day of ERNIE Bot's opening, Baidu official platform data showed that in just 24 hours, ERNIE Bot had replied more than 33.42 million questions to netizens, with an average of more than 23000 questions in one minute. On the same day, ERNIE Bot APP appeared in the hot list of many app stores. On September 5th, the iFlytek Spark Cognitive Model was opened to the public, with a user base exceeding 1 million within 14 hours of its launch. On September 7th, Tencent's hybrid model was officially unveiled to the public. Tencent Group Vice President Jiang Jie stated that Tencent will fully embrace the big model. At the same time, it was also announced that Tencent Cloud will open up its hybrid big model capabilities to the public, serving thousands of industries with self-developed technology. The Tencent hybrid metamodel will serve as the foundation for Tencent Cloud MaaS services, which enterprise users can not only directly call but also serve as the base model for different industry scenarios