Cognitive Computing Interpretation: The Coming Boundary for Attainable and Streamlined Neural Network Operationalization

Artificial Intelligence has advanced considerably in recent years, with models surpassing human abilities in numerous tasks. However, the true difficulty lies not just in training these models, but in utilizing them efficiently in real-world applications. This is where inference in AI takes center stage, arising as a primary concern for scientists

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