MACHINE LEARNING INTERPRETATION: THE FOREFRONT OF GROWTH IN ATTAINABLE AND ENHANCED SMART SYSTEM OPERATIONALIZATION

Machine learning has advanced considerably in recent years, with models achieving human-level performance in various tasks. However, the real challenge lies not just in training these models, but in deploying them efficiently in practical scenarios. This is where AI inference takes center stage, surfacing as a primary concern for scientists and inn