RAG vs. Fine Tuning

Get the guide to GAI, learn more → https://ibm.biz/BdKTbF Learn more about the technology → https://ibm.biz/BdKTbX Join Cedric Clyburn as he explores the differences and use cases of Retrieval Augmented Generation (RAG) and fine-tuning in enhancing large language models. This video covers the strengths, weaknesses, and common applications of both techniques, and provides insights on how to choose between them using machine learning and natural language processing principles AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://www.ibm.com/account/reg/us-en/signup?formid=news-urx-52120 #AI #LargeLanguageModels #FineTuning #RAG #ReinforcementLearning #MachineLearning #NaturalLanguageProcessing