Practical and professional,

Equipping every business with an “AI application Engine”

The 2024 Government Work report listed “accelerating the development of new quality productivity” as the top priority, and proposed to carry out “artificial intelligence +” action. In response to this call, many enterprises are actively acting to list the integrated application of AI technology as a corporate priority. According to Deloitte’s 2024 State of the Art report, a whopping 79% of business leaders surveyed expect generative AI to drive substantial enterprise change over the next three years.

Different from the big model at the C-end, the big model at the B-end requires close to the actual business scenario of the enterprise, providing the full value chain and the full scenario of ubiquitous intelligence and swarm intelligence applications that go deep into the front end of the customer’s business, and the information provided must be accurate and the operations performed must be rigorous, because once the enterprise uses the wrong data and executes the wrong command, it may cause great risks.

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Because of this, Yonyou YonGPT fully realizes credible, practical and professional, truly solves the concerns of enterprises, and allows each enterprise to be equipped with “AI application engine” to help enterprises accelerate their shift to comprehensive intelligent operation.

Based on large-scale business application data, combined with enterprise application scenarios and field experience, UF’s R & D team marked a large number of enterprise service corpus data to form rich training materials for enterprise service large model, and integrated business knowledge and field experience into enterprise service large model to ensure the professionalism of the large model.

The creation of a large model of the industry cannot be separated from a large number of fine harmonization and prompt projects, and Yonyou has done meticulous work in this link. YonGPT extends the storage memory, application adaptation and scheduling capabilities of large models through context memory, knowledge/library table indexing, Prompt engineering, Agent execution, and common tool set. In addition, UF also considers plug-in construction, which involves interaction with external systems and calls, which can be completed with plug-in services.

YonGPT has a built-in Agent executive layer that acts as the overall command and dispatch center to distinguish the needs of enterprise users. Some tasks that need to return deterministic results and require high reliability, the system will automatically return to the UFida BIP or small model, and the original functions of the enterprise service domain will be completed. For some tasks that require reasoning and judgment, have uncertainty or fuzziness, it is given to large models to develop, so as to ensure the controllable and reliable execution of tasks.

RDIO-01 Nowadays, the strength of YonGPT after continuous training and polishing has become stronger and stronger, which has enabled many enterprises to realize the value of AI innovation, accelerated the popularization of enterprise data intelligence, and helped enterprises develop with high quality.

For example, in talent recruitment, Yunnan Baiyao, based on the AI capability of YonGPT, provides more powerful support for enterprises to explore and attract outstanding talents, and efficiently solves the consultation of Baiyao recruitment 10W+ users on enterprise introduction, resume delivery, interview and assessment, offer and on-boarding process and other related issues in the application process. Significantly reduce the time HR spends responding to inquiries. According to Yunnan Baiyao statistics, after the use of AI interviews, the efficiency of talent screening has increased by nearly 60%.

For example, under the help of YonGPT, the financial “digital intelligence employees” created by China Minerals can achieve regular reporting of fixed format statements or reports to SASAC through the designated platform to report the financial status and operating status of the enterprise. The original manual 180 minutes to complete the work, now based on the “digital intelligence staff” only need 1 minute to complete, the efficiency is greatly improved while achieving the standardization, meticulous, accurate financial work.

For another example, Far East Data Intelligence based on YonGPT, to achieve the intelligent search of a large number of tenders and fast intelligent writing of tenders, and even built a new large model search portal. For industry customers, intelligent search can also support customized applications, including the GPT capability of enterprise portrait, enterprise risk control, enterprise marketing, graph application and other analysis reports, coupled with rights management, business connection and search entry, forming a convenient digital intelligent enterprise operation portal.

On the road to innovation, Yonyou never stops. in today’s new era driven by AI, All in AI UFida will continue to explore the deep integration of AI technology with enterprise management and business model, and help enterprises achieve higher quality development and continuous competitiveness improvement on the journey of digital intelligent transformation.