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Artificial Intelligence is everywhere, but for many developers, the terminology feels overwhelming. In this video, we break down essential AI concepts every developer should understand before building with AI, including machine learning, deep learning, neural networks, embeddings, RAG, fine-tuning, tokens, hallucinations, vector databases, quantization, and more. This isn’t surface-level hype or marketing jargon. Each concept is explained technically, clearly, and visually, with real developer intuition in mind. Whether you’re new to AI or already shipping AI-powered applications, this video will help you connect the dots and understand how modern AI systems actually work. You’ll learn: • How machine learning and deep learning differ • What neural networks, parameters, and training really mean • Why tokens, embeddings, and vector databases matter • How RAG reduces hallucinations • What latency, quantization, and model architecture affect in production • How AI models are evaluated and optimized If you’re a software engineer, backend developer, Web3 engineer, AI engineer, or technical founder, this video gives you the foundation needed to build with confidence, not guesswork.