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 → 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

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Makers residency 4th edition

Your idea can be anything. At our last workshops, people built plant-based nutrition businesses, a way to measure planetary resilience, crochet headwear and a way to connect lonely people living in the same building. An asset manager went on to raise an additional £25M on their fund within nine months. The fourth workshop is a full day at KOKO with Nick Sarafa, learning to build with Claude Code. Bring the thing you keep meaning to start. We’ll bring the pizza.

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Makers residency 4th edition
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Makers residency 4th edition
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