RAG vs. CAG: Solving Knowledge Gaps in AI Models
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Ready to become a certified watsonx Generative AI Engineer? Register now and use code IBMTechYT20 for 20% off of your exam β https://ibm.biz/BdGtmQ Learn more about RAG here β https://ibm.biz/BdGtm3 What if your AI can't answer who won the Oscars last year? π₯ Martin Keen explains how RAG (Retrieval-Augmented Generation) and CAG (Cache-Augmented Generation) address knowledge gaps in AI. π Discover their strengths in real-time retrieval, scalability, and efficient workflows for smarter AI systems. π» AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM β https://ibm.biz/BdGtmw #retrievalaugmentedgeneration #aiworkflow #machinelearning
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