LLMs are powerful tools that have revolutionized the field of AI. However, they often struggle with issues like hallucinations and outdated information. In this talk, we will explore how Retrieval-Augmented Generation (RAG) systems address these challenges by incorporating relevant and real-time knowledge from external databases. Attendees will gain insights into the fundamentals of RAG, its transformative impact on LLMs, and its diverse real-world applications.
Ayman Qroon is an Associate Machine Learning Scientist with the Industry team at the Alberta Machine Intelligence Institute (Amii), where he utilizes his expertise to help clients advance their ML projects and capabilities. At Amii, he has collaborated with numerous companies across diverse sectors, providing guidance to identify, assess, and implement innovative ML solutions.
Ayman has an educational background in engineering and mathematics, complemented with a professional AI certificate from Stanford University. With over four years of hands-on experience in ML, his expertise blends academic knowledge with practical application.