Applying Large Language Models (LLMs) to Anticipate the Demands of the Era

On February 27, 2025, the Faculty of Mechanical - Electrical & Computer Engineering, Van Lang School of Technology, organized the seminar "Large Language Models (LLMs) and Their Practical Applications" to provide faculty members and students with the latest knowledge on advanced artificial intelligence models.

Large Language Models (LLMs) represent a breakthrough in artificial intelligence, particularly in natural language processing (NLP). These models (e.g., GPT-4, BERT) are trained on vast amounts of textual data, enabling them to comprehend, generate, and process language with remarkable flexibility. LLMs can learn contextual meaning, create content, support data analysis, and facilitate natural communication between humans and machines. They have been practically applied across various fields, including education, research, customer service, software development, and healthcare.

Dr. Le Hung Tien, Dean of the Faculty of Mechanical - Electrical & Computer Engineering, emphasized the Faculty's commitment to investing in the application of artificial intelligence (AI) in education, particularly in Large Language Models (LLMs): “Since 2023, the Faculty of Mechanical - Electrical & Computer Engineering has been integrating AI-powered subjects into teaching, research, and practical applications. We guide students in effectively utilizing AI across various fields, focusing on programming and generating new content rather than merely analyzing or predicting based on existing data.”

Assoc. Prof. Le Duc Anh, Research Associate Professor at the Japan Institute of Mathematical and Probability Research, stated: “In the era of artificial intelligence, equipping oneself with the appropriate knowledge and skills is the key to success. Artificial intelligence should be seen as a tool to enhance work efficiency rather than as a threat. Moreover, you must study and adapt to fully harness the potential of technology.” Assoc. Prof. Le Duc Anh also encouraged students to focus on honing their critical thinking, learning abilities, and skills in problem solving, programming, and algorithm development…

News: Hieu Nhan
Photos: Gia Thuan