Harnessing the Power of Generative AI using RAG by Matt Ratliff

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Details
Generative AI has revolutionized numerous domains by enabling machines to produce human-like content. The Retrieve, Augment, Generate (RAG) framework marks a significant leap forward in this technology, blending information retrieval with generative models to deliver highly relevant and contextually appropriate outputs. This discussion delves into practical applications of RAG across natural language processing, content creation, and personalized recommendation systems. By harnessing RAG, organizations can streamline complex tasks and provide customized user experiences at scale. Real-world examples and theoretical insights underscore RAG's potential to reshape industries, drive innovation, and define the future of AI applications.

About the Speaker
Matthew Ratliff is an Associate Solutions Architect and seasoned software engineer with over 20 years of experience in the software industry. He is a passionate advocate for the use of artificial intelligence (AI) and the advancement of machine learning technologies. Matthew holds a Master's degree in Computer Science and Information Systems from the University of North Carolina Wilmington. He is also a certified Scrum Master and a Microsoft Certified Professional. Matthew has a diverse background, having worked in various sectors including gaming, banking, pharmaceutical management, and public safety software. His expertise has been recognized at international forums, including the IASTED Human Computer Interaction Conference in Innsbruck, Austria, where he presented on emotion recognition using facial expressions with active appearance models.In addition to his technical achievements, Matthew has contributed to education as an IT instructor, sharing his knowledge and inspiring the next generation of tech professionals. He is dedicated to promoting AI and machine learning applications, helping others achieve their goals, and advancing education in these fields. Outside of his professional life, Matthew enjoys spending time with his family, painting, and woodworking.