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From blueprint to application landing, APUS model is based on China to build "AI strong base".

2025-01-18 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > IT Information >

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

On October 24, the third China (Ningbo) Software Summit and programmer Festival was held. Ni Guangnan, academician of the Chinese Academy of Engineering, Shen Changxiang, academician of the Chinese Academy of Engineering, and many enterprise bigwigs gathered on the spot to feel the pulse for the development of the software industry. Li Tao, chairman and CEO of APUS, a domestic AI model enterprise, analyzed how the big model leads industrial change, creates value and promotes social progress around the theme of "AI to the future of a new intellectual collar" at this summit, and creatively puts forward the viewpoint of "six elements" of AI model value creation.

The Great Model of AI brings about Comprehensive change

With the rapid development of artificial intelligence large model technology, it is gradually setting flowers on the ground in various scenes, and creating rich application value, becoming an important driving force to promote industrial upgrading, but also an important force to change society.

Li Tao pointed out that under the trend of AI restructuring industry, the large model plays the role of the underlying "operating system", integrating, dispatching, allocating, and comprehensively promoting the construction of an industrial network for computing power, data, applications, and other resources. For example:

In the field of industrial Internet, multimodal large model capability can monitor and analyze production line data in real time, provide support for predictive maintenance, quality control and production optimization, and improve the efficiency and quality of industrial manufacturing.

In the field of agricultural Internet, multimodal large models restart the construction of agricultural digital network, use AI to enhance the intelligent level of the whole chain of "production, supply and marketing service management", and promote innovative applications such as digital machinery and digital live broadcast to improve production and sales.

In the field of the Internet of things, the multi-modal capability of intelligent hardware and large models enables it to have its own perception and cognition, which provides comprehensive, efficient and reliable guidance for innovation and research.

On the journey of exploring the meta-universe, the powerful reasoning ability of the large model helps to construct the cognition of the meta-universe and supports the rapid generation of exquisite design, complex modeling, human-computer interaction, mechanism establishment and spatial operation and maintenance in space, which makes it possible to land the idea of the meta-universe.

Taking the large model as the driving force not only brings about changes in the Internet industry, but also brings iterative upgrading of IT elements. Li Tao believes that with the popularity of AI, programming will move from the extensive use of natural languages in the future, where people can talk directly to machines; at the same time, functional positions such as programmers, product managers, and designers will also be transformed into "designers" of requirements. If the jumbled, mechanical and repetitive work is handed over to the big model and the value creative work is handed over to people, the allocation of social resources will be more reasonable.

Building the Competitiveness of China's Big Model

Whether for industry or IT elements, the AI large model shows a strong refactoring ability. "although large models seem to be 'omnipotent', not all models can be verified in practice, and not all models can create real value." Li Tao said. He believes that the foothold of the development of the AI model lies in value creation, and the realization of value creation must have both "six elements": robust computing power, global knowledge base, high-quality data, algorithms for continuous evolution, alignment of values, and integration of scenarios with value creation.

Compared with foreign leading large models, Chinese large models start late, and it is difficult to break through technical bottlenecks such as algorithmic computing power in a short time; and limited by Chinese corpus data, there is less high-quality data to train large models. China's large models are still "not smart enough". Chinese corpus accounts for only 3% of the global knowledge base, and breaking through data bottlenecks is also a difficult problem that Chinese big model manufacturers must work together to tackle. " Li Tao said.

Although some models seem to be "smart enough", there are some problems such as misalignment of values. APUS believes that China's AI application research and development should still be based on China's big model, so Chinese large model manufacturers should have independent consciousness and shoulder the responsibility of independent innovation; build differentiation barriers based on the needs of the Chinese market, build an accurate AI model that meets China's needs and values, and create new AI productivity.

Bring application into line with value creation

At present, the large model market is still in the exploration period of commercial landing, so it has long been the consensus of the industry to let the big model create good AI applications and serve good market demand. Li Tao pointed out: "China's digital construction is a continuous iterative process, which requires a large model 'base' to support the rapid change of intelligent scenarios. In the face of complex needs, APUS will continue to customize AI models for the Chinese market, bringing AI applications into line with value creation."

In terms of data, APUS has formed a unique global user data and high-quality corpus based on the global business of the past nine years and 2.4 billion global users; at the same time, APUS has cooperated with domestic language manufacturers to build a "red corpus" with positive values for the Chinese market. In terms of computing power, APUS has invested in the construction of two major computing centers around the world, and has joined forces with Alibaba, Baidu, Tencent and other cloud computing manufacturers to provide a variety of computing power combinations and flexible expansion solutions for the demand side to help enterprises and developers achieve rapid R & D landing and significant cost reduction.

At present, APUS has worked with a number of industry partners, such as Netcom, manufacturing, e-commerce, to create industry solutions with large models, and use AI to help partners upgrade hardware infrastructure, build basic model platforms, and innovate specific business applications.

At the same time, APUS continues to open up its ecology, working deeply with Baidu, Tencent Cloud, Aliyun and other manufacturers to build flexible industrial coordination. For example, the APUS model opens model plug-ins, and developers can access external models independently and solve the needs of complex scenarios through the ability of "model groups".

"to be the big model of China" is the right thing to do for a long time, and APUS is also holding this original intention to continuously consolidate the platform ability to train the big model to evolve to a higher level of reasoning. Li Tao said: "We expect the APUS big model to play its base value in Qianhang Baiye. We also expect more developers to join the APUS ecology and use the big model to create more viable AI applications."

With the theme of "Digital empowerment and intelligent future creation", this conference focuses on hot topics such as domestic open source ecology, AI model, industrial software empowerment and so on. The activities include academician report, release ceremony, special report, signing ceremony, celebrity report, press conference, finale report and so on. In addition to inviting Ni Guangnan and Shen Changxiang, there are also representatives of Unicom Cloud, Jin Dieyun, Tiger Industrial Cloud Group and other enterprises to convey the "voice of technology."

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