PREDICTIVE MODELS REASONING: THE BLEEDING OF IMPROVEMENT TRANSFORMING REACHABLE AND STREAMLINED SMART SYSTEM OPERATIONALIZATION

Machine learning has made remarkable strides in recent years, with systems achieving human-level performance in various tasks. However, the real challenge lies not just in creating these models, but in implementing them efficiently in practical scenarios. This is where machine learning inference becomes crucial, emerging as a critical focus for exp