← Library · Core concept
Model Serving
Model serving is the process of taking a trained machine learning model and making it available for use by other applications or users. This involves packaging the model, creating an API endpoint, and deploying it to an infrastructure where it can receive input, make predictions, and return results efficiently. It's the step that transforms a scientific achievement into a practical tool.
In plain terms
Serving a model is like opening a restaurant where the trained model is the chef ready to cook dishes based on customer orders.
Why it matters
It's the crucial bridge between developing an AI solution and its real-world impact, enabling applications to leverage AI intelligence.
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