LLM (LSM) Is Not Equal to the Third AI Wave
Presented by: Dr. Chunsheng Yang, FCAE
Join us for a thought-provoking keynote exploring the history, promises, and pitfalls of AI and LLMs and what lies beyond in the quest for truly vital and trustworthy AI technologies
We have witnessed the achievements of AI research and its impact on human life and society over the past few decades. Since its inception at the Dartmouth Conference 1956, AI has gone through several boom and bust cycles. Each bust pushed AI research from one boom to yet another prosperous boom. For example, the most recent bust from 1987 to 1993 led to another AI research boom which has lasted almost 20 years (2000-2019). 2017 the attention-based transformer invented by Google broke through the ceiling of deep learning and boosted the development of transformer-based large language models (LLM) or so-called large-scale models (LSM). OpenAI released ChatGPT 4.0 on Nov 2022 without sufficient evaluation of the safety and trustworthiness, which promoted the tournament of LLM markets overwhelmingly. It appears that the third AI wave is coming. However, the reliability of LLM/LSM become less with increasing size of the models. Many challenges still remain to be addressed. Today AI development run into much more barriers in meeting the expectations of public in the commercialization of AI technologies such as safe-driving, self-abstracting, self-learning, etc. In this talk the speaker will explore what is pros and cons in the development of LLM, and having-vitality AI technologies by revisiting the AI history, and the major achievements from the current trends and personal experience in developing AI technologies for addressing real-world problems over the last 30 years. In terms of the natures of LLM/LSM, we do believe that LLM/LSM is not equal to the third AI wave, more diverse research directions and AI solutions are desired.
Dr. Chunsheng Yang
Fellow of the Canadian Academy of Engineering (FCAE)
Carelton University, Canada
Guangzhou University, China
Biography
Dr. Chunsheng Yang is a Fellow of the Canadian Academy of Engineering (FCAE). He is a Dean of the school of Artificial Intelligence of Guangzhou University and a Principal Technical Scientist of Jiadu Technology Group Inc. He is the distinguished Visiting Professor with Fuyao University of Science and Technology. He is an Adjunct Professor with Carleton University (Canada), and East Jiao Tong University. Dr Yang used to be a Principal Scientist at the National Research Council Canada and a distinguished Professor with Nagoya Institute of Technology (Japan). He is interested in data science, machine learning, hybrid reasoning, intelligent systems, digital twins and Prognostic and Health Management (PHM). He received a Hons. B.Sc. in Electronic Engineering from Harbin Engineering University, China, an M.Sc. in computer science from Shanghai Jiao Tong University, China, and a Ph.D. from the National Hiroshima University, Japan. He worked with Fujitsu Inc., Japan, as a Senior Engineer and engaged on the development of intelligent traffic management for ATM backbone telecommunication networks. He was an Assistant Professor at Shanghai Jiao Tong University from 1986 to 1990 working on Hypercube Distributed Computer Systems. Dr. Yang has been the author for 240+ technical papers (book chapters) and reporters published in the referred journals and conference proceedings. Dr. Yang is a Program Co-Chair of the 20th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2016) and a Program Co-Chair for the 17th International Conference on Industry and Engineering Applications of Artificial Intelligence and Expert Systems in 2004. He is also a guest editor for the International Journal of Applied Intelligence and the Journal of Clustering Computing. He severs scientific advisor for several instructions such as NSERC, Irish Research Council, etc.
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