INTERPRETING VIA MACHINE LEARNING: THE PINNACLE OF INNOVATION IN STREAMLINED AND ATTAINABLE COMPUTATIONAL INTELLIGENCE SYSTEMS

Artificial Intelligence has achieved significant progress in recent years, with algorithms matching human capabilities in numerous tasks. However, the main hurdle lies not just in training these models, but in deploying them efficiently in practical scenarios. This is where AI inference comes into play, emerging as a critical focus for researchers