Apr 11
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Every AI system that understands meaning — search, RAG pipelines, recommendations, fraud detection — runs on embeddings. This video teaches you exactly what embeddings are, how they are created inside a transformer encoder, and where engineers use them in real production systems. What you'll understand after watching: → What an embedding actually is (a vector that carries meaning) → The 5-step pipeline from raw text to a 768-dimensional vector → Why king − man + woman = queen is a real, measurable result → How semantic search, RAG, recommendations, and fraud detection all rely on embeddings → The difference between keyword matching and vector proximity Previous videos: → What Is AI? — https://youtu.be/oN2bnF4jH8w → What is Machine Learning? — https://youtu.be/qS4a1UCIXcI → What are Neural Networks? — https://youtu.be/QZy9p4QcmZ8 → What is Deep Learning? — https://youtu.be/ktWxcDpxHa8 → What is an LLM? (Large Language Model Explained Simply) — https://youtu.be/IiSs_ko-_5o → How Does ChatGPT Actually Work? — https://youtu.be/2Es84SPMf14 → What Are Tokens? (How AI Reads Your Words) — https://youtu.be/EvOrDBzbk_E → What Are AI Parameters? (The Numbers Behind Intelligence) — https://youtu.be/b4k1L17NxlA → What Is Training Data? (How AI Learns What It Knows) — https://youtu.be/tvFsnNDQZlE → AI vs Human Intelligence — What's the Difference? — https://youtu.be/5gtEz3a2JCs → How to Use ChatGPT the Right Way (Most People Do This Wrong) — https://youtu.be/7GZ4rPM_hjM → What Is Prompt Engineering? (And Why It Changes Everything) — https://youtu.be/Cjt91KGkMkE → What Is AI Image Generation? (How Machines Learn to Draw) — https://youtu.be/FOPMtwaZCpI → What Is GitHub Copilot? (How AI Writes Code With You) — https://youtu.be/N7LK9ENsfdg This video is part of the AI Fundamentals for Engineers playlist — a deep-dive series covering how AI systems actually work under the hood. ------------------------------------------------------------ DISCLAIMER ------------------------------------------------------------ This channel is a personal hobby and learning project. It is not a business and will never be monetized in any form. No ads, no sponsorships, no affiliate links, no paid content — ever. All videos are free and will always remain free. This content is created purely for the joy of learning and teaching AI simply.