Shulou(Shulou.com)11/24 Report--

Thank you, Mr. Air, a netizen of CTOnews.com, for your clue delivery! CTOnews.com, April 28, Baidu and Fuzhou Municipal Government signed a strategic agreement, the two sides will carry out in-depth cooperation based on the big model represented by Wen Xin and the general AI capability of Baidu Smart Cloud, and will jointly build Baidu Intelligent Cloud (Fuzhou) Intelligent Computing Center. Baidu previously built intelligent computing centers in Yichang, Hubei, Yancheng, Jiangsu, and Zhangqiu, Jinan.

CTOnews.com obtained from the official that Baidu Wenxin word has been iterated rapidly since its release on March 16, and has completed four technical version upgrades, and the reasoning cost of the large model has been reduced to 1/10 of the original. Baidu Smart Cloud launched the world's first one-stop enterprise large model platform "Baidu Intelligent Cloud large Model platform", which will provide public cloud services and privatized deployment in the future.

Baidu Intelligent Cloud Model platform has launched internal testing for the first batch of enterprise customers, and has been jointly developed with customers in different fields to create an industry model room in five areas: intelligent office, travel services, e-commerce live streaming, government services and financial services.

In terms of public cloud services, Baidu Intelligent Cloud Big Model platform will provide: reasoning (the reasoning ability to directly call large models), fine-tuning (through high-quality fine-calibrated business data, efficient training of industry-specific large models), hosting (publishing models on Baidu Smart Cloud to achieve more stable and efficient operation), significantly reducing the threshold for enterprises to deploy large models.

In terms of privatization deployment, there are two ways to support software licensing (providing large model services that run in an enterprise environment) and software and hardware (providing a complete set of large model services and corresponding hardware infrastructure). Privatization deployment can meet the needs of enterprise customers with stringent requirements for data regulation.

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