+**Model Tuning** is the process of refining a [Machine Learning](/wiki/machine_learning) model's internal settings to unlock its optimal performance. It involves carefully adjusting [Hyperparameters](/wiki/hyperparameters) to find the sweet spot where the model generalizes best to new data, minimizing error and maximizing accuracy.
+## See also
+- [Optimization](/wiki/optimization)
+- [Validation](/wiki/validation)
+- [Deep Learning](/wiki/deep_learning)