Inference engineering optimizes AI model performance during deployment by fine-tuning algorithms for speed, accuracy, and resource efficiency. It involves techniques like quantization and pruning to reduce latency. Data scientists and engineers benefit through faster, cost-effective reasoning in production, while end-users gain responsive applications, from chatbots to real-time analytics systems.
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