Enhancing AI Competency and Work Productivity
Credits Renewed Monthly; Usage-Based Deductions

On September 2, Chosun University announced that its Information and Computer Center has officially launched 'CSU AI', a generative AI service based on multiple large language models (LLMs), to enhance members' AI competency and work productivity across the institution.

Chosun University campus.

Chosun University campus.

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As part of its anchor initiative, CSU AI is a service platform that allows users to select and use various large language models within a single integrated environment. Users can choose an AI model suited to the purpose of their work, utilizing it for diverse tasks such as Q&A, document creation and summarization, translation, idea generation, data analysis, and coding support.


The service also offers image and video generation features. Users can create images and videos for use in work materials, promotional content, and educational resources by entering desired topics and expressions in natural language. The platform enables users to compare responses from different models to the same prompt, as well as to attach documents or images to find and analyze information as needed.


CSU AI can be accessed through the Chosun University portal by logging in and using SSO (Single Sign-On) authentication. Members can conveniently use the service within the existing portal authentication system, without having to create a separate service account or log in again.


Service credits necessary for usage are renewed monthly. Credits are deducted according to the usage of selected AI models and features such as image and video generation, and the amount consumed for the same task can vary by model and feature. Users can efficiently manage credits by selecting the most appropriate model and function, based on their task purpose and difficulty.


Prior to the official launch, Chosun University conducted a test operation from August 18, inspecting the stability and user convenience of access, authentication, and major functions, while comprehensively analyzing user count, model and feature-specific usage, primary application areas, credit usage trends, and member feedback.


Based on this analysis, the university intends to gradually expand the range of available models and service support, including image and video generation, in accordance with service usage trends.



Hwang Seokseung, Director of the Information and Computer Center at Chosun University, stated, "With CSU AI, our members will be able to conveniently utilize a variety of generative AI models and image and video generation features within a single environment. We will continue to improve and expand the service based on the results of the test operation and user feedback."


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

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