Hallym University Introduces 27 Multi-LLMs...Expands AI Use Across Education, Research, and Administration

Hallym University Builds "AI Common Infrastructure"
Leading the "K-Higher Education AI Model"

Hallym University (President Choi Yanghee) is expanding its multi-LLM-based AI utilization environment across the entire university. Based on the experience it has accumulated so far, Hallym University plans to shift AI from being limited to specific classes or a subset of users to a common infrastructure that can be used broadly by professors, students, and staff.

Hallym University campus. Provided by Hallym University.

The expanded AI environment is built on a multi-LLM structure that allows users to select and use 27 different large language models (LLMs) on a single platform. While existing AI services have mainly focused on class and learning support, this expansion is characterized by broadening the scope of use to include research and administrative areas, including high-performance reasoning models. High-cost reasoning models, which are difficult to access at the individual level, will be provided through university accounts.

In research settings, AI will be available for tasks that require complex logical structures, such as paper analysis, research design review, and result verification. In the education domain, customized chatbot development and learning support functions are expected to be further advanced.

The key point of interest is the way data is managed. Hallym University has established a structure in which data generated during AI use is not tied to external platforms, but is instead owned and managed directly by the university. Through this, the university plans to identify students' learning patterns, researchers' needs, and administrative bottlenecks faced by staff, and to build a feedback system that spans education, research, and administration.

Changes are also expected in the administrative domain. By having AI support tasks such as responding to repetitive civil inquiries, providing guidance on regulations, and summarizing documents, the university aims to reduce the administrative burden on staff, while multilingual guidance functions will enhance information accessibility for international students and members of the university community.

Ko Youngwoong, Director of Academic Affairs at Hallym University, said, "With the introduction of the multi-LLM system, we have established a foundation for the university to directly manage the data generated in the process of using generative AI," adding, "By providing high-performance AI services across research and learning, we will be able to manage research support and the learning environment in a more systematic way."

Meanwhile, through the Glocal University 30 project, Hallym University is gradually building a higher education AI strategy for AI-driven innovation in higher education at home and abroad, with the goal of establishing a "K-Higher Education Model" that leads a university-wide AI transformation.

This content was produced with the assistance of AI translation services.