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Description: Are you tired of hearing terms like "LLM," "RAG," and "Prompt Engineering" without actually knowing what they mean? Welcome to the ultimate AI Terminology Masterclass, designed to demystify the language of Artificial Intelligence for everyone. In this video, we break down the complex architecture behind modern AI, from how machines simulate thinking and learning to the breakthrough "Transformer" technology that allows models to pay attention to context. Whether you are a beginner or looking to sharpen your technical vocabulary, this guide covers everything you need to know about the current AI revolution. +2 What You’ll Learn: The Foundations: Understanding Artificial Intelligence , Generative AI , and the Large Language Models (LLMs) like Gemini and GPT-4o that power them. +4 The Tools of the Trade: How to master "The Prompt" and the skill of Prompt Engineering to get better results. +4 Advanced Concepts: A deep dive into Retrieval-Augmented Generation (RAG) , Multimodal AI that senses images and audio , and the rise of autonomous AI Agents. +4 Ethics & Accuracy: Why AI "hallucinates" (makes things up) and how human bias can impact AI results. +4 Video Chapters: 0:00 - Intro: Demystifying AI 0:45 - AI vs. Generative AI: What’s the difference? +1 2:15 - Inside the "Brain": LLMs and Transformers +1 4:30 - Mastering the Prompt: How to talk to AI +1 6:10 - Why AI Lies: Understanding Hallucinations +1 8:00 - Specializing Models: Fine-Tuning & RAG +1 10:15 - The Future: Multimodal AI & Agentic Workflows +1 12:45 - Reasoning & World Models +1 14:30 - Ethics: Identifying Bias in AI Resources: This masterclass covers the "Gold Standard" of AI generation, including Diffusion Models used for AI art and Generative Adversarial Networks (GANs) used to create hyper-realistic faces. https://humanloop.com/blog/rag-archit... Stay curious. Keep building. #ArtificialIntelligence #AITerminology #ChatGPT #Gemini #LearnAI #PromptEngineering #MachineLearning #TechEducation