INTERPRETING BY MEANS OF NEURAL NETWORKS: A CUTTING-EDGE EPOCH IN OPTIMIZED AND REACHABLE COGNITIVE COMPUTING SYSTEMS

Machine learning has achieved significant progress in recent years, with models matching human capabilities in various tasks. However, the main hurdle lies not just in training these models, but in implementing them optimally in everyday use cases. This is where machine learning inference comes into play, arising as a primary concern for researcher