The Little Book of Generative AI Foundations: An Intuitive Mathematical Primer

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This book offers a concise, derivation-focused introduction to the mathematical underpinnings of generative AI. It guides readers through key concepts like PCA, VAEs, diffusion models, GANs, and more, aiming to clarify the structure of generative modeling without sacrificing mathematical rigor. The primer is designed for researchers, practitioners, and students with a mathematical curiosity.