In the context of Big Language Models (LLMs) rapidly becoming the core foundation of modern artificial intelligence, understanding their nature, operating mechanisms, and impact on decision-making is no longer an option, but a necessity for education, research, and technology applications. Stemming from that spirit, the Faculty of Information Technology and Communications organized the international workshop “From Insight to Impact: How Large Language Models Reshape Decision Intelligence” to provide an in-depth, up-to-date, and practically valuable academic forum.

The workshop was honored to welcome two international speakers from Multimedia University (MMU), Malaysia: Prof. Dr. Ting Choo Yee - Professor in the Faculty of Computing and Informatics, and Prof. Dr. Goh Hui Ngo - Professor in the Faculty of Computing and Informatics. With their extensive research and teaching experience in artificial intelligence and computer science, the professors provided insightful analyses on how LLMs are changing the way people access data, knowledge, and make decisions in the digital environment. On the organizing side, the workshop was attended by Mr. Nguyen Thanh Trung - Head of the Faculty of Information Technology and Communications, Ms. Nguyen Thi Lieu - Deputy Head of the Faculty of Information Technology and Communications, along with faculty members and a large number of students.

Photo: Prof. Dr. Ting Choo Yee (left), Dr. Nguyen Thanh Trung (center), and Prof. Dr. Goh Hui Ngo (right) posing for a commemorative photo.

The program focused on clarifying three main topics: 1. The role of Big Language Models (LLMs) in reshaping decision-making intelligence 2. How to transform Insight into Impact in practical problems 3. Modern AI trends related to education, research, and technology applications In their presentation, the two professors focused on clarifying the core academic foundation of Large Language Models (LLMs). They emphasized that LLMs are artificial intelligence models trained on extremely large text datasets, allowing the system to understand and generate human-like language in various tasks, from text creation and question answering to semantic analysis. Thanks to their large parameter scale and modern architecture, similar to Transformers, LLMs have become a crucial technological foundation for many natural language processing applications, including chatbots, virtual assistants, text writing tools, and text data analysis. The professor's analysis helps students grasp the scientific nature of LLMs, thereby understanding the potential and limitations of this technology in the context of research and education.

Photo: Prof. Dr. Ting Choo Yee - Professor, Faculty of Computing and Informatics

Following on from the foundational content, the workshop delved deeper into the application and impact of LLMs in practice. The professors' presentations focused on how large-scale language models are supporting and enhancing decision-making intelligence in various fields, from education and scientific research to the industrial environment. Through illustrative examples and case studies, DNTU students learned how to transform data and insights into impact, thereby understanding that the value of LLMs lies not only in their language processing capabilities but also in their ability to create practical impact when properly integrated into specific problems.

Photo: Prof. Dr. Goh Hui Ngo - Professor, Faculty of Computing and Informatics

The workshop took place in an open, vibrant academic environment with two-way dialogue between international experts, lecturers, and students. In-depth exchanges, practical questions, and research sharing contributed to strengthening academic connections and opening up many prospects for future international cooperation.

From a human resource training perspective, the workshop holds particular importance for students of the Faculty of Information Technology and Communications. Through the presentations by two professors from Multimedia University (MMU), DNTU students and faculty not only updated themselves on the latest trends in LLMs but also developed critical thinking, systems thinking, and the ability to assess the impact of technology in complex decision-making contexts. These are fundamental competencies that will help students adapt to and lead the development of artificial intelligence in the digital age.

Through regularly organizing international academic seminars and connecting with reputable experts worldwide, DNTU continuously creates opportunities for students to access and update themselves on the latest global technology trends, while equipping them with the necessary knowledge, skills, and mindset to become global citizens.

Some images from the program:

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