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In this video, we explain Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, and Large Language Models (LLMs) in a simple and practical way. We begin with the definitions of AI, ML, and Deep Learning, followed by a brief discussion of “Attention Is All You Need” - the paper that became the foundation of modern LLMs like ChatGPT and Gemini. We then move into Large Language Models, explaining how they work, how they predict the next token, and why they sometimes generate incorrect or hallucinated outputs. 00:00 Introduction 01:33 What is Artificial Intelligence (AI)? 03:54 What is Machine Learning (ML)? 08:45 What is Deep Learning? 13:55 The AI Hierarchy (AI, ML, Deep Learning, Generative AI, LLMs) 14:39 "Attention Is All You Need" 17:27 What Are Large Language Models (LLMs)? 26:53 The Good, The Bad, and The Ugly (Applications & Limitations of LLMs) 32:24 Summary and Next Steps The goal of this video is to establish a solid conceptual foundation and understanding of LLM behavior. How is this video useful? For Technical Users Builds strong fundamentals required to design LLM-based systems: RAG pipelines AI agents Multi-agent workflows and Agent Harness For Non-Technical Users (Sales, Marketing, Business, Product, Founders) Explains AI, ML, Deep Learning, and LLMs in plain language Helps understand what tools like ChatGPT and Gemini can and cannot do Enables better communication with technical teams This video is especially helpful for beginners and non-technical professionals who want to understand modern AI concepts without heavy math or complex theory. #AI #LLMs #ArtificialIntelligence #MachineLearning #DeepLearning #ChatGPT #GenerativeAI #AttentionIsAllYouNeed #Transformers #AIinHindi #LogicByTewatiaHindi #RAG #AIAgents #AgenticAI