TIANJIN, July 2, 2024 /PRNewswire/ -- From AI painting, AI poetry to chatting robots, portable tutors that provide all-subject Q&A, and intelligent driving assistants that accurately recognize vehicle and machine instructions, the application of large models is in full swing. The development of AI technology has made all walks of life imagine more about the future of intelligence.
As a professional, green and intelligent third-party data center operator, Jiangtian Data took the lead in applying large model technology to the IDC industry, and launched the industry's first large model knowledge base application, "Yuntian", to provide the industry with an interdisciplinary knowledge base and new application solutions.
For the IDC industry, although the large model technology has a strong attraction, at the same time, the interdisciplinary specialization, knowledge acquisition and transformation, knowledge precipitation and inheritance faced by the industry knowledge in practical application have become problems that need to be solved before the large model is implemented in the IDC industry.
The construction and operation of data centers span multiple professional fields such as electrical engineering, HVAC, water supply and drainage, automation control, computer science and information technology, network architecture, architectural design, and engineering management.
Industry standards and specifications are complex, and it is difficult to acquire and transform knowledge:As a critical information infrastructure, data centers must comply with strict industry norms and standards, and the relevant design and reference standards have a huge amount of documents, intensive professional knowledge and fast update speed, and it is a major problem for the industry to obtain the latest and most accurate information quickly and accurately.
Lack of online and standardization, difficult to accumulate and inherit knowledge:The traditional knowledge transfer in the data center industry relies on face-to-face communication and paper-based materials, and if experienced experts retire or change jobs, a large amount of valuable knowledge and experience is at risk of being lost, and knowledge sharing and inheritance are inefficient, making it difficult for new employees to quickly absorb the wisdom of their predecessors, affecting the continuity and innovation ability of the team.
However, existing open source models only obtain data from public publications, and are often unable to solve these problems.
Model specialization, scene specialization, and experience specializationThrough its own operation scenario incubation and wisdom condensation, Jiangtian Data focuses on scenario-based implementation, and has accumulated rich experience in IDC operation. Based on the RAG+Agent technology route, Jiangtian Data's Yuntian large model knowledge base has successfully achieved industry breakthroughs with three characteristics: "model specialization, scenario specialization, and experience specialization".
RAG technology enables large models to dynamically retrieve answers when generating answers, and uses external knowledge base information to improve the accuracy and reliability of content and reduce errors or "illusions". Agent technology deeply connects the large model with the business system, so that the large model can perceive the environment, make independent decisions, perform tasks like a human, and handle complex work with a high degree of automation through natural language interaction.
Intelligent Q&AJiangtian Data Yuntian large model knowledge base integrates massive professional resources, covering more than 60 operation and maintenance standards, more than 140 electrical professional standards, and more than 170 HVAC professional specifications. In the face of industry problems in different roles such as operation and maintenance, construction, design, and equipment manufacturers, we provide professional and accurate Q&A services. Compared with general universal knowledge, the answers of Jiangtian Data's Yuntian large model knowledge base are more professional and more in line with the professional and technical requirements of users.
With the integration of training, evaluation, learning, question writing, and evaluation, the Yuntian model of Jiangtian Data accurately identifies the weak points of O&M personnel, clarifies the learning path, visualizes personnel capabilities, provides one-to-one accurate guidance and personalized training for O&M personnel, and uses fragmented time to quickly improve professional skills and reduce enterprise training costs.
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The Yuntian model of Jiangtian Data automatically generates O&M documents that meet industry standards and meet the needs of actual scenarios, and supports the upload of existing data for personalized improvement and supplementation, helping to improve the efficiency of personnel document writing.
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By incorporating data center operation data, operation and maintenance management, and operation management data, combined with the cloud whistle EMS system for energy efficiency analysis, PUE optimization, and integrated and output business intelligence reports, Jiangtian Data's Yuntian model helps managers better understand the business logic behind the data and optimize the business decision-making process.
Solving problems in actual scenarios is where the ultimate value of a large model lies. Let's look forward to more surprises brought by the application of Jiangtian Data's Yuntian large model knowledge base to the data center industry in the future!