INFERENCING VIA NEURAL NETWORKS: A CUTTING-EDGE AGE IN OPTIMIZED AND REACHABLE NEURAL NETWORK FRAMEWORKS

Machine learning has advanced considerably in recent years, with models 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 key area for researchers