MACHINE LEARNING ANALYSIS: THE FOREFRONT OF IMPROVEMENT IN STREAMLINED AND ATTAINABLE INTELLIGENT ALGORITHM OPERATIONALIZATION

Machine learning has achieved significant progress in recent years, with models achieving human-level performance in numerous tasks. However, the real challenge lies not just in training these models, but in implementing them optimally in practical scenarios. This is where inference in AI takes center stage, surfacing as a critical focus for resear