INTERPRETING BY MEANS OF MACHINE LEARNING: A INNOVATIVE STAGE FOR REACHABLE AND STREAMLINED NEURAL NETWORK ARCHITECTURES

Machine learning has advanced considerably in recent years, with models surpassing human abilities 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 AI inference becomes crucial, arising as a primary concern for experts and industry professional