RAG vs. CAG: Solving Knowledge Gaps in AI Models

Ready to become a certified watsonx Generative AI Engineer? Register now and use code IBMTechYT20 for 20% off of your exam → https://ibm.biz/BdGtmQ

Learn more about RAG here → https://ibm.biz/BdGtm3

What if your AI can’t answer who won the Oscars last year? 🎥 Martin Keen explains how RAG (Retrieval-Augmented Generation) and CAG (Cache-Augmented Generation) address knowledge gaps in AI. 🚀 Discover their strengths in real-time retrieval, scalability, and efficient workflows for smarter AI systems. 💻

AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/BdGtmw

#retrievalaugmentedgeneration #aiworkflow #machinelearning