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Keeps history of different trained model versions.
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Models that generate text, art, or music.
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Steps from raw input to cleaned, ready-to-train dataset.
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The world in which the AI learns behaviors.
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Two networks compete to create realistic outputs.
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Saves and reuses data features for multiple models.
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Defines what actions are good or bad.
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Modern AI that builds pictures from noise gradually.
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Logs metrics and parameters during training.