INFERENCING VIA MACHINE LEARNING: THE ZENITH OF PROGRESS POWERING AGILE AND UBIQUITOUS ARTIFICIAL INTELLIGENCE OPERATIONALIZATION

Machine learning has achieved significant progress in recent years, with systems achieving human-level performance in numerous tasks. However, the real challenge lies not just in creating these models, but in deploying them effectively in practical scenarios. This is where inference in AI takes center stage, arising as a primary concern for researc