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AI models are built from billions of mathematical connections that work together like a digital neural network. These connections are organized into multiple layers, processing information and recognizing patterns before generating an output. During training, the model adjusts billions of parameters using massive amounts of data, gradually learning how to make better predictions. This visualization highlights just how complex these networks can become, with countless mathematical operations work
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