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Getting Started with AI

Inference

The process by which a trained AI model processes new input data to generate predictions, classifications, or responses based on patterns learned during training. This operational phase follows model training and represents the productive use of AI systems in real-world business applications. For organisations, inference represents the value-creation phase of AI implementation, where trained models provide business insights, automate decisions, or generate content. Understanding inference helps businesses plan computational resources, evaluate response times, and optimise AI system performance for operational requirements whilst managing costs effectively.

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