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AI doesn’t store data as numbers. It stores uncertainty. A Variational Autoencoder, or VAE, is a generative AI model that learns data distributions, not exact values. Instead of compressing data into one fixed vector, it learns a mean and variance inside a latent space. Think of it this way. Each data point becomes a small cloud, not a dot. During training, the model samples from that cloud and tries to reconstruct the original input. If the reconstruction is bad, the neural network adjusts its
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