Training

Training is the process of teaching a machine learning model to recognize patterns and make predictions by exposing it to labeled data. During training, the model adjusts its internal parameters to minimize errors and improve accuracy on known inputs and outputs. The result is a trained model artifact that can be evaluated and deployed for real-world use.

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