NEURAL NETWORKS INTERPRETATION: THE LEADING OF EVOLUTION TRANSFORMING EFFICIENT AND REACHABLE NEURAL NETWORK ADOPTION

Machine learning has achieved significant progress in recent years, with systems matching human capabilities in various tasks. However, the main hurdle lies not just in training these models, but in utilizing them effectively in practical scenarios. This is where inference in AI takes center stage, arising as a primary concern for scientists and in