This lesson explains how to evaluate, monitor, and deploy language models effectively. We'll look at key metrics for predictive, retrieval, and generative models, and explore the importance of benchmarking. We’ll also cover tracking performance over time and explore deployment options like local, cloud, hybrid, and edge.