Model Serving Frameworks
Model serving frameworks are software tools that enable the deployment and execution of trained AI models in production environments. They handle tasks like API creation, request routing, scaling, and managing different model versions. These frameworks ensure that complex AI models can respond to real-time user requests efficiently and reliably.
Think of a model serving framework as a restaurant kitchen designed specifically to take incoming food orders (data inputs), prepare meals (model predictions) using pre-trained chefs (models), and deliver them quickly to customers.
Understanding model serving frameworks is essential for transitioning AI models from experimental prototypes into useful applications that deliver value to users.
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