When you have a machine learning model with good prediction quality, you may want to save the model to a file so that you can easily use it later.
Saving a model will export all of the internal model weights, which represent the knowledge the model has gathered during the training. These weights are just a series of numbers, and saving these numbers to a file safeguards this knowledge and makes it available for later use.
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