INTERPRETING BY MEANS OF DEEP LEARNING: A GROUNDBREAKING PERIOD IN STREAMLINED AND ATTAINABLE COGNITIVE COMPUTING MODELS

Artificial Intelligence has advanced considerably in recent years, with systems achieving human-level performance in diverse tasks. However, the real challenge lies not just in training these models, but in utilizing them efficiently in real-world applications. This is where machine learning inference becomes crucial, surfacing as a critical focus