線上會議連結：
Webex 會議連結
會議號：2516 667 0253
密碼：vFr8fnmJW79

The advent of ChatGPT in late 2022 took the society by storm, pushing the so-called large language models (LLMs) into the limelight and hinting the arrival of human-like artificial intelligence. The recently released DeepSeek caused a remarkable jolt to the industry, and even surprised the whole world. Excitement aside, in this talk, we try to explain the development of LLM from an intuitive standpoint, leading to potential lessons that can be learned from a number of LLM mistakes. We’ll make suggestions as to what possible technical explorations may be worthwhile in the current LLM research landscape.

Biing-Hwang (Fred) Juang (Life Fellow, IEEE) received the Ph.D. degree from the University of California at Santa Barbara. He is the Motorola Foundation Chair Professor and a Georgia Research Alliance Eminent Scholar with the Georgia Institute of Technology. He is also enlisted as an honorary chair professor at several renowned universities. He had conducted research work with Speech Communications Research Laboratory and Signal Technology, Inc. in the late 1970s on a number of Government-sponsored research projects and at Bell Labs during the 1980s and 1990s until he joined Georgia Tech in 2002. His notable accomplishments include the development of vector quantization for voice applications, voice coders at extremely low-bit rates (800 and 300 b/s), robust vocoders for satellite communications, fundamental algorithms in signal modeling for automatic speech recognition, mixture hidden Markov models, discriminative methods in pattern recognition and machine learning, stereo- and multi-phonic teleconferencing, and a number of voice-enabled interactive communication services. He was the Director of Acoustics and Speech Research with Bell Labs from 1996 to 2001. He has published extensively, including the book Fundamentals of Speech Recognition, coauthored with L. R. Rabiner, and holds nearly two dozen patents. He received the Technical Achievement Award from the IEEE Signal Processing Society in 1998 for contributions to the field of speech processing and communications and the Third Millennium Medal from the IEEE in 2000. He also received two Best Senior Paper Awards in 1993 and 1994, respectively, and a Best Paper Award in 1994, from the IEEE Signal Processing Society. He served as the Editor-in-Chief for the IEEE Transactions on Speech and Audio Processing from 1996 to 2002. He was named recipient of the IEEE Field Award in Audio, Speech, and Acoustics, the J. L. Flanagan Medal, and a Charter Fellow of the National Academy of Inventors in 2014. He was named Outstanding Alumni of National Taiwan University in 2020. In 2022, he was a co-recipient of the IEEE Communications Society Fred W. Ellersick Prize. He was elected as a Bell Labs Fellow in 1999, a member of the U.S. National Academy of Engineering in 2004, and an Academician of the Academia Sinica in 2006.