Baidu's Wenxin AI Model Reduces Inference Costs by 99%, Partners with Numerous Enterprises
In the recent Q4 and annual financial report conference call released by Baidu, the founder, chairman, and CEO of Baidu, Robin Li, announced an exciting news: the inference cost of Baidu's Wenxin large-scale model has been significantly reduced to 1%. This breakthrough not only demonstrates Baidu's leading position in the field of artificial intelligence but also sets a new benchmark for the entire industry.
According to Robin Li, since the release of the Wenxin large-scale model, Baidu has been committed to reducing its inference cost. The latest version of "Wenxin Yiyu" 3.5 has achieved an astonishing 1% reduction in inference cost compared to version 3.0. This achievement has not only attracted attention from the industry but also attracted more and more companies willing to test, develop, and iterate their applications on the "Wenxin Yiyu" platform.
Robin Li said, "We firmly believe that there is still room for further cost reduction in the future to make generative artificial intelligence products more affordable for more users. This will further increase the adoption rate of 'Wenxin Yiyu' and promote the popularization and application of artificial intelligence technology."
It is worth mentioning that the daily usage of Baidu's Wenxin large-scale model has exceeded 50 million times, with a staggering quarterly growth rate of 190%. In December last year, about 26,000 companies called the Wenxin large-scale model, and the quarterly growth rate was also as high as 150%. These impressive data fully demonstrate the strong appeal and wide application of Baidu's Wenxin large-scale model in the market.
In addition, Robin Li also revealed that well-known companies such as Samsung, Honor, and Autohome have reached cooperation agreements with Baidu. These companies value the advantages of Baidu's Wenxin large-scale model in terms of inference cost, performance, and scalability, and hope to accelerate their own digital transformation and innovative development through cooperation with Baidu.
Robin Li said, "We hope to take this opportunity to build an ecosystem centered on 'Wenxin Yiyu'. We look forward to more and more users benefiting from it and jointly promoting the development and application of artificial intelligence technology."
The reduction of the inference cost of Baidu's Wenxin large-scale model not only brings more cost-effective solutions to enterprises but also injects new vitality and innovation power into the entire industry. In the future, with the continuous advancement of technology and the expansion of application scenarios, it is believed that Baidu's Wenxin large-scale model will continue to lead the development trend in the field of artificial intelligence and provide more intelligent, convenient, and efficient solutions for more users and enterprises.