"The cumulative user scale of Wenxin Yiyan has reached 300 million, and the number of daily calls has also reached 500 million." On June 28, Wang Haifeng, Chief Technology Officer of Baidu and Director of the National Engineering Research Center for Deep Learning Technology and Application, announced at the WAVE SUMMIT Deep Learning Developer Conference 2024 that he officially released the latest technologies such as Wenxin Large Model 4.0 Turbo and PaddlePaddle Frame 3.0, as well as the latest achievements of the PaddlePaddle Wenxin ecosystem.
It is reported that Wenxin model 4.0 Turbo is faster and has better results, and at present, enterprise users can use relevant API services by logging in to the Baidu Intelligent Cloud Qianfan large model platform.
Wu Tian, vice president of Baidu Group and deputy director of the National Engineering Research Center for Deep Learning Technology and Application, shared the latest achievements of the Wenxin model at the scene: in the past six months, the average daily number of questions asked by users of the Wenxin model has increased by 78%, and the average length of questions has increased by 89%. Up to now, Wenxin has generated a total of 7 billion lines of code, created 590 million articles, compiled millions of professional research reports, answered 170 million learning questions, and assisted 130 million people.
Wu Tian also revealed that the Wenxin model has extended the help provided to users from simple needs to more diverse and complex tasks, and has supported a large number of application innovations.
Among them, the Wenxin lightweight model is suitable for solving the problem of determining the scene, and has excellent performance and cost performance. Wenxin 3.5 has good versatility and is suitable for daily information processing and text generation tasks, while Wenxin 4.0 model is larger and more capable, with stronger comprehension ability, logical reasoning ability and richer knowledge, providing professional and in-depth help. Wenxin 4.0 is based on agent technology, and is good at using a variety of tools and data to complete very complex tasks as required.
In addition, Baidu's new generation of PaddlePaddle Framework, Paddle Frame 3.0, was also released at the conference. According to Ma Yanjun, general manager of Baidu's AI technology ecology, the new generation of framework has an exclusive design for large models and heterogeneous multi-cores, and adapts to heterogeneous multi-cores downward to fully release the potential of hardware. Upward integration supports the training and inference of large models. At the same time, the new version has four capabilities: dynamic and static unified automatic parallelism, automatic compiler optimization, large model training and push integration, and large model multi-hardware adaptation.
Up to now, the PaddlePaddle Wenxin ecosystem has gathered 14.65 million developers, served 370,000 enterprises and institutions, and created 950,000 models.
Baidu Smart Code Assistant Comate also ushered in a new release and brand refresh, not only naming the Chinese name "Wenxin Quick Code", which means "code moves with your heart, one step faster", but also officially released Wenxin Quick Code version 2.5.
It is reported that the "fast" of Wenxin Express Code is mainly reflected in three aspects: fast development speed, fast business iteration, and fast enterprise landing. In Baidu, the number of codes submitted per unit of time has increased by 35%, the proportion of R&D delivery in a single week has reached 57%, and the overall R&D efficiency has been improved by more than 14%, while the adoption rate of typical customer Himalaya has reached 44% in one quarter.
Chen Yang, vice president of Baidu, introduced that at present, Wenxin Quick Code provides standard version, professional version, enterprise version, enterprise exclusive version of 4 major versions, and during the conference, Wenxin Quick Code Professional Edition 3-month membership card will be broadcast for a limited time, and developers can enter the official website to receive it through Baidu search Wenxin Quick Code.
"Throughout the first three industrial revolutions experienced by mankind, its core driving force mechanical technology, electrical technology and information technology have strong versatility, will be applied to all walks of life, when they show the characteristics of standardization, automation and modularization of industrial production, the core technology will enter the stage of industrial production." Wang Haifeng concluded.
In his view, artificial intelligence is based on deep learning and large model engineering platforms, including algorithms, data, models, tools, etc., and has a very strong versatility, and has the characteristics of standardization, modularization and automation, which promotes artificial intelligence to enter the stage of industrial production, and general artificial intelligence will accelerate.