MACHINE LEARNING EXECUTION: THE LOOMING HORIZON IN ATTAINABLE AND STREAMLINED NEURAL NETWORK ADOPTION

AI has advanced considerably in recent years, with systems matching human capabilities in numerous tasks. However, the true difficulty lies not just in developing these models, but in implementing them efficiently in practical scenarios. This is where machine learning inference takes center stage, arising as a critical focus for researchers and inn