EXECUTING BY MEANS OF NEURAL NETWORKS: A FRESH PHASE REVOLUTIONIZING EFFICIENT AND AVAILABLE MACHINE LEARNING FRAMEWORKS

Machine learning has advanced considerably in recent years, with models achieving human-level performance in diverse tasks. However, the main hurdle lies not just in developing these models, but in deploying them efficiently in real-world applications. This is where inference in AI takes center stage, arising as a primary concern for scientists and