Patrick Chiang
Patrick Chiang
Prof. Patrick Chiang

Professor at Fudan University

Wireless Integrated Circuit and System Lab.

CTO, Chairman and Co-funder of PhotoIC

World leading expert in CMOs high-speed lC areas.

Former professor at Oregon State University.

Professor and Director, Fudan University.

Founding team member: Datapath (LSl), Velio (LSl), Telegent (Spreadtrum).

BS, Berkeley; PhD, Stanford.

Robotic car control with LLM. AI agents & code generation.
AI Design 2H-2024
About

This course provides an in-depth exploration of the Transformers architecture, a foundational model in modern AI, and its wide-ranging applications. As one of the most influential developments in AI, the Transformers architecture has revolutionized fields such as natural language processing, computer vision, and beyond. Students will gain a comprehensive understanding of how Transformers work, including their attention mechanisms, and how they power state-of-the-art AI applications. The course will also delve into the latest technologies and methodologies employed in some of the most advanced projects globally. Through hands-on experience, students will learn to apply these techniques to real-world scenarios, equipping them with the knowledge and skills necessary to innovate in AI. Whether you're looking to understand the intricacies of Transformers or explore cutting-edge AI applications, this course will provide you with the tools to succeed.