What Is AI Inference? How Trained Models Produce Answers in Production
SMRTR summary
AI inference is what happens when a trained AI model is actually put to work, taking in new inputs and producing outputs like answers, predictions, or actions. Unlike the training phase, inference happens in real time and comes with its own challenges around speed, cost, and accuracy. Understanding inference helps teams make better decisions about how to deploy and control AI systems in real-world settings.
SMRTR provides this summary for quick context. The original article belongs to Unite AI.
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