Flying Paddle AI Studio launches Galaxy large model community

DoNews reported on August 21 that the 9th WAVE SUMMIT Deep Learning Developer Conference was recently held in Beijing. Wu Tian, ​​vice president of Baidu Group and deputy director of the National Engineering Research Center for Deep Learning Technology and Applications, shared the latest progress of Baidu's self-developed large language model "Wen Xin Yi Yan", and released 5 native plug-ins and launched a AI Studio Galaxy large model community, plug-in mechanism and Wenxin large model "Galaxy" co-creation ecological plan

Baidu CTO Wang Haifeng pointed out that the core basic capabilities of artificial intelligence are understanding, generation, logic, and memory. These four abilities are all reflected in the application experience of "Wen Xin Yi Yan". Wu Tian said that Wen Xin Yi Yan has grown rapidly since it was released in March this year, and has mastered more than 200 creative genres. The content richness is 1.6 times that of the initial stage, the length of the chain of thinking is 2.1 times that of the initial stage, and the coverage of knowledge points has reached the initial level. 8.3 times.

Wu Tian is the vice president of Baidu Group and the deputy director of the National Engineering Research Center for Deep Learning Technology and Application

At the same time, Wen Xinyiyan also further expands its capabilities through the plug-in mechanism. Wu Tian released and demonstrated the 5 native plug-ins officially launched by Wen Xinyiyan on the spot: Baidu search, Browsing document (document-based interaction), Eyanyitu (data insight chart generation), Shuo Diagram painting (image-based interaction), Yijingliuying (text to video). Currently, in the web version of Wen Xinyiyan, three plug-ins can be used at the same time, and the capabilities of large models can be used to understand, analyze and schedule to adapt to demand scenarios.

Judging from the live demonstration, it only took 5 minutes. Wen Xinyiyan completed the work that originally took about a week or two, from industry research, brand analysis and selection, to producing promotional videos. With the assistance of AI, Very efficient.

Wen Xinyiyan has powerful code interpretation, rewriting, annotation, and generation capabilities. For example, when a developer takes over a code written by a predecessor, Wen Xinyiyan can explain the code line by line to help the developer better understand the code content. It can also rewrite the code according to needs to make it more concise, and write test cases and output code implementation, etc.

According to reports, Wen Xinyiyan, whose technical capabilities are rapidly upgrading, is accelerating the construction of an ecosystem and promoting the development of large model applications. Developers are the vanguard of AI application implementation. At the meeting, Wu Tian released the three major ecological initiatives of "Wenxin Yiyan" for developers, including the big model community, the big model plug-in mechanism and the Wenxin Big Model "Galaxy" co-creation plan.

The developer community is the key support for ecological development. According to Wu Tian, ​​China's largest AI community "Paddle AI Studio" (Galaxy Community) has gathered 6.09 million development projects. With the development of large models, Baidu officially launched the Galaxy large model community. The community provides developers with an integrated large-model development experience, and also provides rich product features to facilitate developer communication. At present, the Galaxy large model community has accumulated more than 300 large model creative applications.

The plug-in mechanism is an important measure taken to expand the capability boundaries of large-scale models and build a large-scale model application ecosystem. Based on the core technology of "Wen Xin Yi Yan", Baidu provides developers with a low-threshold plug-in development toolset (ERNIE Bot SDK), which can support various types of information services, tools, innovation based on large language models, etc. Plug-in development. After the development is completed, through the plug-in access platform, it can be better connected with Wen Xinyiyan's large-scale model and closely integrated with the application layer ecology

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