Model Monitoring

This is how you keep tabs on your AI model after it's been deployed to users. Like a car's dashboard, it shows you key metrics to detect if performance is dropping, data inputs are changing, or if the model is hallucinating more often. It's crucial for catching issues like model drift early and ensuring your AI continues to deliver reliable value in the real world.