Inference time refers to the duration a machine learning model takes to process new data and produce a prediction after training. It is critical for real-time applications like fraud detection, voice assistants, and autonomous driving. Developers and data scientists benefit by optimizing model efficiency, while end users gain faster, more responsive AI experiences.
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