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Deepfakes are created using a combination of machine learning algorithms, including GANs and convolutional neural networks (CNNs). These algorithms enable the synthesis of highly realistic images and videos by learning from large datasets of images or videos. The process involves two primary stages: (1) training, where the algorithm learns to recognize and replicate patterns in the data, and (2) inference, where the algorithm generates new, synthetic data.