Qingta Technology Launches Major Upgrade to University Data Platform Powered by DeepSeek Large Language Model

Qingta Technology Launches Major Upgrade to University Data Platform Powered by DeepSeek Large Language ModelQingta Technology, a leading digital technology company in China, recently announced a comprehensive technical architecture upgrade to its big data platform. The upgrade integrates the DeepSeek-R1 inference model and the enhanced DeepSeek-V3 multi-modal model, simultaneously releasing updated versions of its three core products: Panorama Cloud, Discipline Cloud, and Degree Cloud

Qingta Technology Launches Major Upgrade to University Data Platform Powered by DeepSeek Large Language Model

Qingta Technology, a leading digital technology company in China, recently announced a comprehensive technical architecture upgrade to its big data platform. The upgrade integrates the DeepSeek-R1 inference model and the enhanced DeepSeek-V3 multi-modal model, simultaneously releasing updated versions of its three core products: Panorama Cloud, Discipline Cloud, and Degree Cloud. This upgrade introduces AI-powered Q&A functionalities tailored for higher education scenarios, including deep reasoning capabilities. It marks a significant penetration of domestic large language models into the higher education sector and sets a new benchmark for the innovative application of general-purpose large models in vertical industries.

Rebuilt Technological Foundation: Dual-Engine Drive with Large Models and Big Data

The core of this upgrade lies in the creation of an AI foundation driven by both the DeepSeek-R1 inference model and the VL2 multi-modal model. DeepSeek-R1 boasts a 128K long-text processing capability and industry-leading complex logical reasoning performance. It enables in-depth correlation analysis of massive structured and unstructured data related to university discipline development, research output, and talent recruitment. Meanwhile, the VL2 multi-modal model breaks down barriers in analyzing diverse information such as charts and tables in papers, experimental data, and academic images, enabling the automated construction of cross-modal knowledge graphs. This transforms the complex task of information integration from manual "transportation" to intelligent "insight."

Qingta's unique massive industry data further fuels the platform's power. It integrates over 300 million data points covering more than 3,000 universities nationwide, 400,000 high-level talents, and millions of academic papers. Knowledge distillation techniques are used to deeply inject this data into model training. This combination of "specialized data fuel plus general-purpose intelligent engine" significantly improves the accuracy of complex applications such as discipline evaluation indicators and talent tracking.

Qingta CEO Lin Shiqing commented, "In my opinion, the critical point for large-scale AI application has been surpassed, and AI will truly become an important fundamental capability. Against this backdrop, high-quality data will play an increasingly significant role in the further development of AI." Currently, the Qingta platform can autonomously complete the entire intelligent service chain: "data cleaning pattern recognition strategy deduction decision suggestions."

Evolution from Data Tool to Strategic Decision-Making Think Tank

As a digital technology company focusing on higher education, Qingta has consistently explored the application of large language models in vertical industries. As early as July 2024, Qingta took the industry lead by integrating the DeepSeek large language model into its big data platform for applications such as unstructured data extraction and web parsing. The integration of the R1 model further enhances the platform's intelligence. Leveraging the model's emergent Chain of Thought, the model's reasoning process is visible to users, improving the credibility of text generation logic and significantly increasing the accuracy and explainability of text analysis.

The latest versions of Qingta's three core productsPanorama Cloud, Discipline Cloud, and Degree Cloudhave undergone comprehensive upgrades in data intelligence interpretation, application extension analysis, intelligent report generation, AI open Q&A, and intelligence generation. They provide users with accurate, professional, and comprehensive data support and decision-making suggestions in scenarios such as discipline construction and degree point application. For example, in a summary report simulation scenario, users only need to select data indicators on the platform page, and the system can automatically retrieve all relevant data from the past five years, generate a comprehensive, detailed, and visualized school summary report based on policy guidelines, with all data originating from official sources and 100% traceable.

Qingta technical expert Zhao Chongxu stated, "This product upgrade not only comprehensively improves the platform's intelligent functions, but more importantly, leveraging DeepSeek's powerful reasoning and self-learning capabilities, it enables Qingta cloud products to truly upgrade from a data platform to a decision-making brain for university construction and development. It advises on scientific decision-making for universities and provides reliable data support."

Future Outlook: Continued Investment, Empowering the AI Era of Higher Education

In the future, Qingta will leverage its deep accumulation of massive data, continue to increase investment in large language models, focus on industry scenario implementation, and collaborate with domestic large language models such as DeepSeek to jointly propel the higher education industry into the AI era. Through this upgrade, Qingta not only demonstrates its leading position in AI technology application but also provides strong support for the digital transformation of higher education, offering more intelligent and efficient solutions for scientific development and decision-making in universities. Qingta is committed to empowering education with technology, continuously exploring the application boundaries of AI technology in higher education, and contributing to the construction of a high-quality education system. The platform upgrade reflects Qingta's ongoing investment in technological innovation and its commitment to the development of higher education. Through deep integration with the DeepSeek large language model, Qingta will further enhance its platform's intelligence, providing universities with more precise, comprehensive, and intelligent data services to facilitate high-quality development. Qingta will continue to focus on the needs of the higher education industry, continuously optimizing and improving its platform functionality to provide stronger support for the digital transformation of universities. Qingta believes that artificial intelligence technology will play an increasingly important role in higher education. Qingta will remain at the forefront, contributing to the future of higher education. This upgrade also provides valuable experience and reference for large model applications in other vertical industries, signifying that AI technology will bring a more intelligent future to all industries.

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