About RAG - Retrieval-Augmented Generation

Unlock the potential of Retrieval-Augmented Generation (RAG) in AI systems with insights from an industry expert! Join me, Xiao, as we delve into the fundamentals of AI, system design, and the nuances of fine-tuning large language models. With a robust background in computer science from Rose-Hulman Institute of Technology and Boston College, and hands-on experience at leading tech giants like Google DeepMind and Meta, I am excited to share practical knowledge and strategies that can elevate your understanding and application of RAG. Whether you're an AI enthusiast or a seasoned engineer, this session will provide valuable insights into optimizing AI systems for efficiency and scalability. Don't miss out—reserve your spot today!