An enormous dataset of photographs and their associated captions is used to train an artificial intelligence algorithm to produce images from text. The model is trained by displaying the captions to it and asking it to attempt an exact recreation of each caption's corresponding image. The model picks up on broad ideas from millions of photographs, such what people seem like, as well as finer features like textures, settings, stances, and compositions that are easier to distinguish from one another.

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