+A **Loss Function** quantifies the error between a model's [prediction](/wiki/prediction) and the true value, serving as a measure of how well a [model](/wiki/model) performs. Its minimization is the core objective in training, guiding the learning process towards optimal outcomes.
+## See also
+- [Cost Function](/wiki/cost_function)
+- [Objective Function](/wiki/objective_function)
+- [Gradient Descent](/wiki/gradient_descent)