“In-House Closed Large Language Model System” Training Successfully Concluded, Marking a New Milestone in Our University's AI Development
publish date :
2025-10-30
Strengthening faculty and staff's ability to apply AI responsibly, with a firm commitment to protecting campus data, the Computer Center successfully held the “In-House Closed Large Language Model System” training sessions on September 26 (Friday) and October 3 (Friday), 2025, attracting nearly 50 participants.
This system was independently developed and deployed by the Computer Center, with servers hosted in the university's data center. It integrates advanced offline models such as Gemma, Llama 3, and TAIDE, ensuring that users can process administrative or research data without concerns about leakage, while balancing performance and privacy. The training covered system installation and scenario-based applications, guiding colleagues to incorporate AI into administrative and academic contexts, including report writing, document summarization, data analysis, and research support—effectively improving work quality and fostering innovation.
Moving forward, the Computer Center will continue to design and deliver AI-focused courses, deepening adoption across the campus. Through these initiatives, we aim to collectively strengthen administrative efficiency and research capacity, embracing a new era of smart innovation.
This system was independently developed and deployed by the Computer Center, with servers hosted in the university's data center. It integrates advanced offline models such as Gemma, Llama 3, and TAIDE, ensuring that users can process administrative or research data without concerns about leakage, while balancing performance and privacy. The training covered system installation and scenario-based applications, guiding colleagues to incorporate AI into administrative and academic contexts, including report writing, document summarization, data analysis, and research support—effectively improving work quality and fostering innovation.
Moving forward, the Computer Center will continue to design and deliver AI-focused courses, deepening adoption across the campus. Through these initiatives, we aim to collectively strengthen administrative efficiency and research capacity, embracing a new era of smart innovation.