API Creation

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API creation is the process of packaging a machine learning model or data service so that other software can use it through a simple interface. Instead of placing the model inside every application, teams deploy it behind an API endpoint. When a request comes in, the API receives the input and sends back the prediction. This setup makes it easier to integrate the model into many different systems without rewriting code each time.

APIs can run in the cloud, on edge devices, or inside containers managed by orchestration tools. They enable real-time applications such as fraud detection, recommendations, and chat-based services. Creating a reliable API is an essential step in moving a model from an experimental environment into production, where it must deliver accurate results consistently and efficiently.

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