EXECUTING WITH NEURAL NETWORKS: THE PINNACLE OF TRANSFORMATION IN OPTIMIZED AND REACHABLE DEEP LEARNING FRAMEWORKS

Machine learning 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 deploying them efficiently in practical scenarios. This is where AI inference comes into play, surfacing as a key area for researchers and innovators al