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What types of generative models have you worked with, and in what contexts?

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I've extensively worked with Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and autoregressive models like PixelCNN and PixelRNN for tasks such as image generation, text generation, and anomaly detection.

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