NEURAL NETWORKS INTERPRETATION: THE LOOMING HORIZON FOR ATTAINABLE AND STREAMLINED NEURAL NETWORK ADOPTION

Artificial Intelligence has advanced considerably in recent years, with algorithms 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 AI inference takes center stage, emerging as a key area for experts and industry pro