What does model deployment entail?

How It Works:

Deployment packages a trained model into a service-via container, serverless function, or edge firmware-exposing inference endpoints for production use.

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Key Benefits:

• Accessibility: Makes models available to applications.
• Scalability: Auto-scales based on traffic.
• Manageability: Version control and health checks.

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Real-World Use Cases:

• API services: REST endpoints for image classification.
• Mobile apps: On-device gesture recognition.