What is Model Serving?

Model serving is the process of deploying a trained machine learning model to an environment where it can be accessed and used by applications to make predictions. It involves making the model available as an API endpoint that can receive input data, process it through the model, and return the model's output or prediction. Common uses include real-time predictions for applications, batch predictions for analytics, and A/B testing of different model versions.