2023 LLM Industry-Academic Technology Exchange Conference-Transformer, Transformation and Transmission of Innovation
Publicsh Date:2023.08.18

Speakers and participants in a group photo.
Industry, academic, and research experts had been invited to give keynote speeches and share their unique insights on the application of Large Language Model technology in the industry. Hsiang-Tsung Kung, Academia Sinica academician and president of Taiwan AI Academy, had an in-depth discussion on the trend in the development of large-scale models; Zong-Yao Lin, deputy general manager of MediaTek's Computing Artificial Intelligence Technology Division, shared the establishment and application of personalized knowledge bases. In the keynote speech session, NCHC's Director General Chau-Lyan Chang gave an in-depth introduction to the technical aspects of Scalable AI and High Performance Computing. Professor Tien-Fu Chen from National Yang Ming Chiao Tung University shared the development process and inference optimization strategy for large AI model systems.

(left)Academia Sinica academician and President of Taiwan AI Academy Hsiang-Tsung Kung (center) NCHC of NARLabs Director General Chau-Lyan Chang (right) National Yang Ming Chiao Tung University Professor Tien-Fu Chen.
The highlight of the afternoon session was the panel discussion "Development and Opportunities of Large Language Model Industry Applications", moderated by Artificial Intelligence Foundation CEO Yi-Ling Wen with panelists Chau-Lyan Chang, NCHC Director General and, Special Assistant to Realtek COO Shi-Jun Wei and Professor Yu-Jie Li, host of TAIDE Program. The conference discussed a number of topics in depth regarding the development and opportunities brought about by language models in industrial applications, such as the trend in the development of AI Large Language Models, sustainable management and intelligent manufacturing, as well as the sharing of experience in the practical applications of AI.

Scenes at the exchange meeting and the NCHC technology exhibit booth.
The technology demonstration exhibits on the scene covered a number of AI models and applications in the academic and research circle. NCHC participated in the display in five technologies: rapid deployment of Large Language Models and applications using NCHC computing resources and cloud services, smart city application technology, applications of machine learning in materials and designs of semiconductor components, applications of AI in the TWAREN research network, and the cloud-based rapid engineering analysis platform. They provided participants with in-depth insights and inspiration, stimulating more innovation and application possibilities.