The China Internet Network Information Center (CNNIC) released the "Generative Artificial Intelligence Application Development Report (2024)" on November 30. The report shows that by June 2024, the number of users of generative AI products in China has reached 230 million, accounting for 16.4% of the total population. Among various generative AI products, Baidu's Wenxin Yiyan ranks first with an 11.5% usage rate among domestic internet users.
Wenxin Yiyan is an AI product based on Baidu's Wenxin large model, which has continuously upgraded its technology and applications since its release in March last year. Data indicates that as of November 2024, the daily call volume of the Wenxin large model has reached 1.5 billion, processing over 1.7 trillion tokens, a year-on-year increase of 30 times. In terms of application, conversational products occupy 62% of the market share due to their wide applicability, with about one-third of users using generative AI as an office assistant and 30% for leisure, entertainment, and content creation.
In the field of content creation, Baidu Wenku has upgraded to a "one-stop AI content acquisition and creation platform" based on the Wenxin large model, launching hundreds of multimodal AI capabilities such as smart PPT, intelligent writing, mind mapping, research reports, and image-to-text generation. As of October 2024, the AI features of Baidu Wenku have been used over 2.8 billion times.
As one of the mainstream forms of AI applications, intelligent agents are also expected to reach a tipping point. By November 2024, the Baidu Wenxin Intelligent Agent platform has attracted 150,000 enterprises and 800,000 developers. With ongoing technological innovation, intelligent agents will play an increasingly important role across various industries, becoming a new bridge connecting users with services.
Overall, China's generative artificial intelligence industry is thriving, and AI products represented by Wenxin Yiyan will continue to play a positive role in enhancing quality of life and work efficiency, thanks to their first-mover advantage.