In the age of generative AI, speed is currency. Inference optimization is the discipline of accelerating AI model responses after training, using techniques like model quantization, pruning, and specialized hardware. It slashes latency and operational costs, making real-time applications viable. Developers, enterprises, and end-users benefit through faster chatbots, smoother recommendations, and more efficient, scalable AI deployments.
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