Efficient inference refers to optimizing machine learning models to run faster and with fewer computational resources during deployment. It uses techniques like quantization, pruning, and hardware acceleration. Developers benefit from reduced latency, while businesses save on cloud costs and energy. End-users experience faster AI responses on edge devices and mobile apps.
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