NEURAL NETWORKS INTERPRETATION: THE CUTTING OF EVOLUTION REVOLUTIONIZING AVAILABLE AND EFFICIENT MACHINE LEARNING INTEGRATION

AI has advanced considerably in recent years, with systems matching human capabilities in diverse tasks. However, the real challenge lies not just in creating these models, but in deploying them effectively in practical scenarios. This is where machine learning inference comes into play, arising as a primary concern for researchers and tech leaders