Elaborate on the concept of model evaluation.
Model evaluation is the process of assessing the performance of an AI model using various metrics, such as accuracy, precision, and recall. This step is crucial to ensure that the model meets the desired benchmarks and performs well in real-world applications. Through rigorous evaluation, developers can identify areas for improvement and optimize the model to enhance its effectiveness.