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Tencent disclosed for the first time the progress of the industry's big model: it does not pursue high parameters and hopes that the cost budget can be controlled.

2025-04-02 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > IT Information >

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CTOnews.com news on June 20, June 19, Tencent Cloud Industry models and Intelligent Application Technology Summit was held at the National Science and Technology Communication Center. Tencent disclosed the research and development progress of industry models for the first time, and released a selected store for industry models based on Tencent Cloud TI platform to provide customers with MaaS (Model-as-a-Service) one-stop service to help customers build their own large models and intelligent applications.

Tencent Cloud has also joined hands with a number of customers and ecological partners to launch industry large model co-construction cooperation and ecological plans to promote the innovative application of large models in various fields. Based on the high-performance computing cluster and large model capabilities of Tencent HCC, it provides more than 50 large model industry solutions for more than 10 industries, such as media, literature, tourism, government affairs, finance, etc.

According to thepaper.cn, what Tencent released this time is not a C-end general model, but an industrial model that landed on the B side. In this regard, Wu Yunsheng, vice president of Tencent Cloud, explained that Tencent also has related applications within the C-end general model, but the relevant information cannot be made public at present.

Wu Yunsheng also said that basically more than 100 million-level parameters can be called large models, but the higher the scale parameters, the more resources and costs are consumed. The core of the industry model is to develop relevant model parameters according to customer needs, rather than blindly pursuing "large scale" or "high parameters". In his view, with the development of technology and computing power, the parameter scale of the large model is also increasing, and Tencent is more concerned about how to solve the problem with more effective methods and lower costs. instead of focusing on hundreds of millions, billions, tens of billions or more than 100 billion. He said, for example, that just as different types of athletes need different degrees of physical training, it is not necessary for everyone to pursue the highest parameter scale. It is hoped that the large model can be done well with the lowest cost, the most suitable model and the best service, and will provide the most logical model when the budget and cost can be controlled, so that it can achieve its goal in the scene and solve the problem.

Wu Yunsheng also revealed that Tencent Cloud industry big model capability has been used in Tencent Enterprise, Tencent Conference, Tencent Cloud AI Code Assistant and other products.

General-purpose large models usually require higher parameter scale and stronger computational support, as well as more challenging and forward-looking. CTOnews.com noted that Tencent Cloud previously released a new generation of high-performance computing cluster HCC, which uses Nvidia's most advanced H800 GPU chip, which is three times more powerful than the flagship chip A100, providing a strong guarantee for large model training.

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