On December 8, 2023, HPT successfully organized a workshop with the theme "Large Language Models and Their Applications in Software Development." The workshop was attended by the leadership team and all employees at the Head Office in Ho Chi Minh City and the Branch Office in Hanoi. Accompanying the workshop was Dr. Nguyen Hong Buu Long, currently a lecturer in the field of Knowledge Technology at the Faculty of Information Technology, University of Natural Sciences, Ho Chi Minh City.
To kick off the program, Mr. Dinh Ha Duy Linh, Deputy Chairman of the Board of Directors and CEO, shared that the workshop was part of the collaboration program between HPT and the Center for Computational Linguistics at the University of Natural Sciences, aiming to focus on advising on the applications of AI technology and computational linguistics. The target audience for the program was the employees directly or indirectly involved in software-related activities (including research, development, testing, and software users). The hope was that after the program, the company would receive innovative ideas from employees to enhance work efficiency.
Mr. Dinh Ha Duy Linh, Deputy Chairman of the Board of Directors and CEO, opened the program.The workshop covered the following topics:
- General introduction to Large Language Models (LLM).
- Capabilities of LLM
- Impact of LLM on software development.
- Challenges and strategies for resolution.
Speaker Dr. Nguyen Hong Buu Long, Lecturer in the Knowledge Technology Department, Faculty of Information Technology, University of Natural Sciences, shared insights at the workshop.
Dr. Nguyen Hong Buu Long provided fundamental knowledge about Large Language Models (LLM) to HPT employees, along with discussing the capabilities and applications of LLM in software development. According to Dr. Buu Long, LLM is a type of machine learning model trained on a large volume of text data. LLM can learn to generate text, translate languages, create various types of creative content, and provide comprehensive information in response to questions. LLM can be utilized to automate software development tasks such as coding, code testing, and even for creating new software products, such as artificial intelligence applications. However, Dr. Long also shared that the application of LLM in software development faces certain difficulties and challenges, such as:
- Cost and Latency
- Recommendation Strategy Design
- Inherent Ambiguity of Language
To address these challenges and difficulties, Dr. Buu Long provided several recommendations and examples aimed at optimizing and minimizing obstacles, improving scalability, and enhancing the accuracy of LLM.
The workshop garnered considerable interest from HPT employees, who actively participated with numerous questions and opinions related to the discussed topics during the discussion session. This demonstrated enthusiasm and a desire to learn more about LLM and its applications in software development.
In his feedback on the workshop, Mr. Ngo Vi Dong, Chairman of the Board of Directors of HPT, shared insights into the challenges and opportunities that HPT, specifically, and society at large, face in light of the rapid development of AI. Expressing gratitude to the speaker, Mr. Dong affirmed HPT's strong emphasis and interest in the collaborative content between HPT and the University of Natural Sciences. He expressed hope that the HPT team would remain united, working together to achieve many successes, aiming towards the significant milestone of HPT's 30th anniversary, and collaboratively building the breakthrough strategy for HPT in the years 2025–2030.
Mr. Ngo Vi Dong, Chairman of the Board of Directors of HPT, shared his thoughts during the workshop.The workshop on "Large Language Models and Their Applications in Software Development" served as a platform for mutual learning, contributing to the enhancement of knowledge and skills for HPT employees in the realm of Large Language Models (LLM) and their applications in software development. This event marked a crucial starting point for collaboration between HPT and the University of Natural Sciences in the fields of AI and computational linguistics. It is hoped that through this workshop, HPT employees will gain additional knowledge and skills necessary for the application of LLM in software development, thereby contributing to increased productivity and work efficiency.