Model Serving Frameworks
Model serving frameworks are software systems designed to host trained machine learning models and make them accessible to other applications via APIs (Application Programming Interfaces). They handle requests, run predictions using the loaded model, and return results efficiently and at scale. These frameworks often include features like versioning, A/B testing, and monitoring capabilities.
Imagine a specialized restaurant kitchen whose only job is to quickly prepare and serve a specific dish, expertly trained and ready for any customer order.
They are essential for taking a trained AI model from an experimental notebook to a functional and scalable product that real users can interact with.
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