Model Serving

The process of deploying a trained machine learning model so it can actively receive new data and generate predictions in a live environment. Think of it as opening your specialized chef's restaurant: the kitchen (model) is ready, and it's now serving dishes (predictions) to customers (users) on demand. This infrastructure ensures your AI system is accessible and performs efficiently for real-world applications.