Zhibo’s AGI Large Model Full-Stack Course, Session 12, systematically covers core large model technologies, including Transformer architecture, multimodal applications, Agent system construction, RAG system implementation, and enterprise-level deployment. The course progresses from foundational knowledge to advanced hands-on practice, combining Python programming, deep learning frameworks, and open-source tools to help learners master cutting-edge AI technologies. It provides rich learning resources such as video tutorials, PPT lecture notes, code examples, and practical projects, making it suitable for AI engineers, researchers, and technology enthusiasts to engage in deep learning and comprehensively enhance their large model development and application capabilities.
