Professor from Shanghai Jiao Tong University Teaches the Underlying Logic of AI Agents in Half a Day
A public lecture led by a professor from the School of Artificial Intelligence at Shanghai Jiao Tong University will unpack the core principles of AI Agents in just half a day. The course covers six key modules including LLM fundamentals, agent architecture, vector databases, RAG, CoT reasoning, and multi-agent collaboration. Held in Beijing on May 24, 2026, with limited seats.
In the era of large language models, many enterprises still limit their use of AI to chatbots and writing assistants. However, a technological inflection point has arrived. While competitors are deploying 24/7 "digital employee teams," the upcoming public lecture led by a professor from the School of Artificial Intelligence at Shanghai Jiao Tong University (SJTU) offers a chance to cut through the fog and understand how AI can truly integrate with business.
The half-day course, titled "Understanding the Underlying Logic of AI Agents," is organized by QbitAI and will be held in Beijing on Sunday, May 24, 2026, from 9:00 AM to 12:00 PM. It is designed for entrepreneurs seeking growth opportunities, digital transformation managers needing actionable roadmaps, and technology professionals looking to build systematic knowledge.
If LLMs are the "brain" of AI, agents are the intelligent entities with "hands and feet" that can think, remember, and act. They are no longer passive tools but digital employees capable of decomposing tasks, calling tools, and collaborating. The lecture will cover six key modules: understanding the boundaries of LLMs, the core architecture of agents (including brain, memory, and action systems), vector databases and RAG to solve hallucination problems by providing long-term memory, Chain-of-Thought (CoT) reasoning to teach AI step-by-step thinking, tool calling and multi-agent collaboration to build a 24/7 digital workforce, and finally security considerations and future outlook.
The instructor is Professor Xia Renqiu, an assistant professor at SJTU's School of AI. He holds a PhD from SJTU's Department of Computer Science and has worked on major national projects related to LLMs, multi-agent systems, and AI for Science. He has published over 20 papers in top conferences like NeurIPS, CVPR, and ICLR, and led the development of open-source foundational models for mathematical reasoning and multimodal document understanding.
The venue is the SJTU GAO JIN Beijing Campus (5th Floor, West Tower, Global Financial Center, No. 1 East Third Ring Middle Road, Chaoyang District). Registration is required via QR code, and seats are limited. Don't miss this opportunity to gain a competitive edge in the AI era.