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

There is no doubt that AIGC is the hottest track this year. Whether in daily life or at work, we can feel the charm of AI with more "independent thinking ability": camera App, supported by AI, supports interesting functions such as "one-click face change" and "one-click creation"; on the short video platform, AI digital man anchors carry goods 24 hours a day; even workers unlock the new AI office posture: as long as copyworkers enter the content frame, AI can complete the contribution in seconds. As long as designers provide creative instructions, AI can quickly generate creative pictures and videos, and programmers seek programming inspiration and find the program BUG through AI. These seemingly smarter and more user-friendly AI applications are inseparable from an important "production base"-AI model.

While the big model industry is still in a hundred-model scuffle, such a company, APUS, has begun to focus on applications, comprehensively upgrade business and open up innovative business lines with self-developed large models. In a short period of six months, to achieve AI business growth, internal overall efficiency. How on earth does APUS do that when it quickly enters the bureau, breaks through the tight encirclement, and builds the AI "moat"?

APUS big model: from technology to application

In fact, as early as November 2022, when ChatGPT was first published, Li Tao, chairman and CEO of APUS, already realized that a new round of revolution in artificial intelligence technology had already begun, and that the Internet was experiencing a new round of reshuffle with AIGC technology, which was both a challenge and an opportunity. APUS must seize this AI opportunity to build its own product moat. Under his leadership, APUS anchored the large model track and quickly began the construction of AI business.

Since then, APUS has been fully transformed into the training, development and use of large models, actively embracing this technological revolution by building its own "APUS model". In April 2023, hundreds of billions of multi-modal APUS models and four elite models of text, image, audio and video were launched for the Chinese market.

In the process of model testing, in addition to regular monitoring of technical capability indicators such as computing power, data, reasoning, etc., APUS also connects all internal business systems to the APUS large model platform, through trying to design programming schemes with AI, designing visual interfaces with AI, adding AI interaction in the product, etc., to enhance iteration and product function, but also reverse to verify the boundary capability of the APUS model.

Comprehensive AI of APUS: realizing product evolution and internal efficiency

Li Tao once mentioned: "the value of the big model does not lie in itself, but in the upper application value based on it." The "value" of the APUS model is never "said", but takes its own business as the "touchstone" to take the lead in verification.

First of all, APUS uses AI as a tool to achieve internal efficiency, fully integrate business and products into its own large model, and transform and upgrade more than 200 existing products. Take the product UI design as an example, the past page design needs to occupy a lot of energy of designers in material selection, matting and typesetting, unified vision and other tedious work. However, with the blessing of AI, designers can not only ensure that all design materials have a unified style and beautiful pictures, but also quickly complete the output of complex design contents such as illustrations, icons, and even 3D, and the measured work efficiency is nearly doubled.

At the application experience level, many products add intelligent interactive modules such as intelligent dialogue, intelligent retrieval, intelligent preview, intelligent interactive modules such as graphic, graphic and video, through the multimodal capability of the APUS model, to enhance the practicability and interesting experience of the application. In addition, many applications also enrich the "custom" function, users can "customize" AI services to meet their own personalized needs.

On the operation and maintenance side, programmers expand the capability boundaries of products with the help of the APUS model, and at the same time, they are also using AI to "self-check and correct" code errors. Technicians only need to tell AI "what is the version in development and what is the problem I have encountered", and AI can help troubleshoot the problem and use the machine to automatically correct errors, which not only effectively reduces the cost of manual intervention, but also reduces the error rate.

On the R & D side, engineers give simple logic code to AI to write, and then fine-tune based on the basic programming given by AI; complex program scenarios use the powerful knowledge base of AI to solve knowledge blind spots and break through technical limitations.

"many of our wild product ideas in the past have become possible with the support of today's big models." A product manager at APUS said, "when we tell AI about product design and code structure, it will help us generate a new solution, greatly improve our productivity and give us new inspiration." With the large APUS model as the base, the product team quickly cut into the market demand and launched new AI applications for C-end people, such as intelligent Q & A master, simple pen painting, telepathic camera, real-time translation and so on.

From the technology to the application. APUS insists on model-driven business optimization. After more than half a year of trial and practice, the company has significantly reduced its operating investment in copyright, materials and labor costs, while the efficiency of product distribution, new product research and development and commercialization has been significantly improved. Now, various business teams within APUS have precipitated and summarized the "AI Office SOP" suitable for their own system, with the help of AI to achieve overall work efficiency.

AI Innovation from inside to outside: creating a "New growth Curve"

Many enterprises will find that with the acceleration of development, the marginal cost of business expansion is also increasing infinitely, and the market competition is becoming more and more fierce. for APUS, it has also faced the same problem.

Li Tao once mentioned in an interview that in the past, APUS laid the market foundation with tool products, and after obtaining a large number of users and running through the business model, it attracted a lot of followers, resulting in the cutting of its original market, the core reason was that the technical barriers to the original business were not high enough; and this round of AI model track is a favorable opportunity to enhance business barriers. The application innovation and value landing of C-side, B-side and G-side scenarios driven by APUS large model will also become the "new growth curve" of the company's business.

For B-end and G-end applications, APUS model has been deeply applied in hospital service, education and teaching, bus manufacturing and process management, long-term management of network information industry and other fields through APUS model, APUS network letter model, APUS e-commerce model, APUS manufacturing model and APUS education model, which can be used for reference for industrial wisdom upgrading.

"Application" is the beginning of the value of the APUS model, but the AI ambition of APUS is much more than that.

"We want to customize the artificial intelligence big model for China, to join hands with all parties in the industry to build the AI ecology, and finally make the big model application and value creation in line." With regard to the AI strategy of APUS, Li Tao explained that China's scenario service should first align values to ensure that the concept of large models is positive, data security and "for my use"; secondly, it is easier for Chinese large model manufacturers to understand the complex demand scenarios of domestic society and enterprises, and the actual cost of using models is lower.

On the road of AI, APUS has never fought alone, but actively opened up the ecology, working with Ali, Tencent, and other cloud computing vendors to consolidate the "base" of large models, and open them to the society in various flexible forms, such as API, model plug-ins, privatization deployment, and so on.

Those who walk alone are quick, but those who walk far away. APUS will also continue to unite internal and external forces, join hands with the upper and lower reaches of the industrial chain to consolidate the "internal power" of AI, with the help of large models to nourish their own business innovation and development, at the same time, bring more high-quality AI services for more enterprises, developers and ordinary users.

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