INTERPRETING VIA MACHINE LEARNING: THE BLEEDING OF EVOLUTION DRIVING PERVASIVE AND EFFICIENT MACHINE LEARNING APPLICATION

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 utilizing them optimally in real-world applications. This is where machine learning inference becomes crucial, emerging as a critical focus for experts