INTERPRETING VIA MACHINE LEARNING: THE CUTTING OF ADVANCEMENT ACCELERATING LEAN AND PERVASIVE MACHINE LEARNING FRAMEWORKS

Machine learning has made remarkable strides in recent years, with systems achieving human-level performance in various tasks. However, the main hurdle lies not just in training these models, but in utilizing them optimally in real-world applications. This is where inference in AI comes into play, surfacing as a primary concern for scientists and i