Our deep generative visual models are trained to generate high-resolution pictures itself. With a single network, our deep generative model can significantly recover details in images of different qualities and conditions.
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By training to generate fashion styles from images, our deep generative visual models can develop a taste of fashion itself. With a single neural network, our generative visual model can quickly find relevant fasion product in millions of pictures.
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By training to generate text and conversations itself, our deep generative language models can understand the semantics and syntax of language. With a single neural network, our generative model can solve semantic search, text generation, machine translation and many more challenging problems.
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