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Welcome to the ultimate Generative AI and LLM Course! 🚀 In this video, you’ll learn how to optimize RAG (Retrieval-Augmented Generation) — a powerful technique that makes large language models (LLMs) more accurate, efficient, and cost-effective. We’ll cover: ✅ What is RAG and how it works in LLMs ✅ Techniques to optimize retrievers and rerankers ✅ How Knowledge Graph-Augmented RAG (LightRAG) improves context and precision ✅ Tips for improving inference speed and reducing hallucination ✅ Real-world examples of Gen AI optimization If you’re building or fine-tuning LLMs, chatbots, or AI agents, this is your step-by-step guide to creating high-performing, scalable AI systems. 📚 Topics Covered: Generative AI Explained Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) LightRAG Implementation AI System Optimization #GenerativeAI #LLM #RAG #LightRAG #AICourse #MachineLearning #AITraining #OpenAI #KnowledgeGraph #AIEngineering #artificialintelligence