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Baidu Q3 financial report: Large models and AI native applications performed well, with revenue and profits exceeding market expectations

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Release: 2023-11-22 11:13:40
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On November 21st, Beijing time, Baidu released its third quarter financial report. During the period, Baidu’s AI large model and AI native applications performed well. Various data indicators have increased significantly.

Among them, the number of users of Baidu Wenxin Yiyan has reached 70 million, covering 4,300 scenarios, and the number of API calls has increased exponentially. The usage of many AI native applications such as Baidu New Search, Baidu New Library, Baidu Netdisk "Yunyiduo", Baidu Maps, and Baidu GBI has surged. Baidu Intelligent Cloud Qianfan large model platform serves more than 20,000 companies and covers nearly 500 scenarios.

In terms of financial data, the financial report shows that Baidu’s revenue in the third quarter reached 34.447 billion yuan, and the net profit (non-GAAP) attributable to Baidu reached 7.3 billion yuan, a year-on-year increase of 23%. Both revenue and profit exceeded the market. expected.

Baidu Q3 financial report: Large models and AI native applications performed well, with revenue and profits exceeding market expectations234.jpg

Robin Li, founder, chairman and CEO of Baidu, said, “In the context of emerging opportunities in generative AI and basic models, , Baidu continues to strengthen technology and improve products, especially the launch of Wenxin Big Model 4.0, which is Baidu's most powerful basic model. We also use the capabilities of Wenxin Big Model and Wenxin Yiyan to reconstruct consumer and enterprise models. Level products and its own operations, while bringing AI native experience, continue to improve efficiency."

"At the same time, we have fully opened Wenxin Big Model API to cloud customers to help them develop AI native applications and solutions. Plan. Baidu adheres to the business and product strategy with artificial intelligence as the core, laying the foundation for the revenue maintenance and profit expansion of Wenxin Big Model and Wenxin Yiyan Ecology in the coming years." He emphasized.

Baidu Chief Financial Officer Luo Rong said that Baidu maintained stable profit margins during the quarter and continued investment in artificial intelligence laid the foundation for technology and product innovation. In the future, Baidu will continue to prioritize investment in artificial intelligence, especially generative AI and basic models, and unswervingly focus on efficiency and strategic resource allocation

Financial report shows that Baidu’s core revenue in this quarter was 26.6 billion yuan, attributable to Baidu Core's net profit (non-GAAP) reached 7 billion yuan, a year-on-year increase of 21%; Baidu Core's online marketing revenue increased to 19.7 billion yuan. At the same time, the cumulative service volume of Luobo Kuaipao increased to 4.1 million orders. It is reported that Xiaodu continued to rank first in China’s smart screens and smart speakers in terms of shipments in the second quarter.

Wenxin Big Model API calls have increased exponentially

Since Wenxin Yiyan was opened to the whole society, in October, Wenxin Big Model 4.0 was released. Users can use Wenxin Yiyan to To experience Wenxin 4.0 version, enterprises can call Wenxin 4.0 API through Baidu Smart Cloud Qianfan large model platform. Currently, Wenxinyiyan has 70 million users, covering 4,300 scenarios.

Baidu is exploring new development opportunities through Wenxin Big Model and Wenxinyiyan. Wenxinyiyan answered 33.42 million questions from users on the first day it was opened, and ushered in rapid growth in the number of users. Recently, the "Wenxin Yiyan Professional Edition" based on Wenxin Large Model 4.0 has been launched and is specifically open for paid use for the needs of professionals, which makes it different from other models on the market. Compared with the free basic version, the professional version has more powerful model capabilities and image generation capabilities

At the same time, the number of API calls for Wenxin large models has increased exponentially. Not long ago, Robin Li said in his speech that the number of calls made by Wenxin's large models "exceeds the sum of the other 200 large models." According to reports, more than 10,000 companies use large model capabilities on Baidu Qianfan's large model platform every month.

The usage of AI native applications has surged, and the Wenku payment rate has increased significantly

Recently, the data indicators of Baidu's many AI native applications have increased significantly. Baidu is based on Wenxin Big Model and Wenxin Yiyan Dui. The product has been comprehensively restructured, and Baidu New Search, Baidu New Library, Baidu Netdisk "Yun Yiduo", Baidu Maps, Baidu GBI and other AI native applications have been launched.

AI native applications have achieved significant growth in the number of users. On Baidu App, 640,000 creators have used AI-assisted creation tools to produce 14 million pieces of content, which have been played 30 billion times. "Yun Yiduo" launched by Baidu Netdisk has become the world's first personal cloud intelligent assistant, and the number of users has reached 20 million. In addition, the new AI functions of Baidu Wenku have been used by more than 30 million users

At the same time, the user stickiness and activity of Baidu AI native applications are also rising rapidly. According to reports, the cumulative usage of Wen Xinyiyan’s online prompt words has reached 20 million times; the cumulative usage of Baidu Wenku’s AI new functions has exceeded 200 million; as of mid-October, the cumulative number of requests for Baidu input method “Super Skills Writing” has exceeded 1 100 million times, and the user like rate exceeds 80%.

The new AI native experience will increase users’ online time and release new monetization opportunities. Taking New Search as an example, the three major characteristics of ultimate satisfaction, recommendation stimulation and multiple rounds of interaction can effectively increase user stickiness, stimulate new needs, and achieve commercial monetization; take Baidu Library as an example, the library has been restructured from a "content tool" to a "productivity tool" ”, launched functions such as intelligent text and PPT generation and editing, and the library payment rate increased significantly.

At the same time, Baidu has also built AI native applications from 0 to 1, and gradually promoted its usage and commercialization, such as the first domestic generative business intelligence product "Baidu GBI", and the AI ​​programming assistant Baidu Comate. According to reports, more and more corporate customers in traditional industries are showing strong interest in the above products.

Baidu Intelligent Cloud Qianfan large model platform serves more than 20,000 companies

Based on the understanding of the rapidly growing demand for AI native applications, Baidu Intelligent Cloud provides customers with a comprehensive set of service solutions , covering five main requirements. These services include AI computing power, large model API calls, large model secondary development, AI native application development tools and AI native application stores

Currently, Baidu Smart Cloud’s Qianfan large model platform has served more than 20,000 users companies, covering nearly 500 scenarios. For example, TAL used Baidu Smart Cloud to train and develop large models, significantly improving the performance of large models; Face Wall Technology completed the training and optimization of multiple large models on Baidu Smart Cloud, ensuring model training continuity, and achieved good model convergence effects

At the same time, plug-ins are of great significance in promoting the ecological prosperity of AI native applications. They are the AI ​​native applications with the lowest threshold and the easiest to use. Since the Lingjing Matrix plug-in platform was launched in September this year, 27,000 developers have applied to join, including partners such as Ctrip, CITIC Publishing Group, and China Judicial Big Data Research Institute.

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