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Ever seen "RAG" and "CAG" mentioned in tech circles and felt out of the loop? This video breaks down these essential AI concepts in simple terms! Retrieval Augmented Generation (RAG) is how AI systems like ChatGPT access fresh information beyond their training data. When you see AI answering questions about last month's trending songs or recent news events, that's RAG in action, retrieving external knowledge to supplement the AI's built-in capabilities. Context Augmented Generation (CAG) is the technology that allows AI to remember details from your conversation and provide personalized responses. When ChatGPT remembers you're a biology student and tailors its advice accordingly, that's CAG working behind the scenes. Together, these technologies are revolutionizing what AI can do - delivering more accurate, up-to-date, and personalized responses than ever before. 00:00 - Introduction to RAG & CAG 00:24 - Limitations of normal AI 00:48 - What is RAG? 01:15 - RAG in everyday use 01:45 - What is CAG? 02:12 - How RAG & CAG work together 02:38 - Conclusion #ArtificialIntelligence #MachineLearning #AITechnology #RAG #CAG #TechExplained #AIBasics #ChatGPT #LLMs #aitutorial