INTERPRETING VIA ARTIFICIAL INTELLIGENCE: THE LEADING OF EVOLUTION ACCELERATING RESOURCE-CONSCIOUS AND ACCESSIBLE MACHINE LEARNING FRAMEWORKS

Machine learning has advanced considerably in recent years, with systems 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 machine learning inference takes center stage, surfacing as a primary concern for sci