EXECUTING BY MEANS OF DEEP LEARNING: A FRESH EPOCH IN STREAMLINED AND ATTAINABLE DEEP LEARNING FRAMEWORKS

Artificial Intelligence has achieved significant progress in recent years, with systems matching human capabilities in diverse tasks. However, the real challenge lies not just in developing these models, but in utilizing them optimally in practical scenarios. This is where machine learning inference takes center stage, surfacing as a primary concer