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Baidu Wenxin Big Model 4.0 Turbo released: Wenxin Yiyan has 300 million users, with a maximum of 500 million calls in a single day

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2024-06-28 17:25:30608browse

According to this site’s news on June 28, at the Baidu WAVE SUMMIT Deep Learning Developer Conference held today, Baidu CTO Wang Haifeng announced that Wen Xin Yiyan’s cumulative user base has reached 300 million, and the number of daily calls has reached a maximum of 500 million times. For comparison, Robin Li said in April this year that the number of Wenxinyiyan users exceeded 200 million, and the average daily API calls also exceeded 200 million. "Our rapid development this year, including the rapid development of the entire large model, is inseparable from the support of Feijiang." Wang Haifeng said. At the press conference, Wang Haifeng also announced the release of Wenxin large model 4.0 Turbo version. According to reports, compared with the Wenxin Large Model 4.0 version, the new Turbo version has faster response speed and stronger retrieval capabilities.

百度文心大模型 4.0 Turbo 发布:文心一言用户规模达 3 亿人,单日最高调用 5 亿次

This site noticed that Wenxin Yiyan just updated version 3.1.0 on June 28th, adding "Wenxin Large Model 4.0 turbo", and at the same time the plug-in function was offline.

百度文心大模型 4.0 Turbo 发布:文心一言用户规模达 3 亿人,单日最高调用 5 亿次

Wenxin Yiyan was released on March 16, 2023, and has been continuously iterated through versions 3.5 and 4.0. Previously, there was news that Baidu will release a new generation of Wenxin large model 5.0 during the Baidu World Conference in 2025. When Robin Li released version 4.0 in October last year, he also said that the Wenxin large model is not inferior to GPT-4.
In May this year, Baidu announced that two main models of Wenxin Big Model ENIRE Speed and ENIRE Lite are completely free of charge. These two models are the main models that customers often use in scene applications. They are used in copywriting creation and chat conversations. , knowledge Q&A, content continuation and other scenarios have a very high number of calls.

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