EXECUTING WITH NEURAL NETWORKS: A INNOVATIVE PHASE FOR STREAMLINED AND REACHABLE NEURAL NETWORK FRAMEWORKS

Artificial Intelligence has achieved significant progress in recent years, with systems matching human capabilities in various tasks. However, the real challenge lies not just in creating these models, but in implementing them efficiently in real-world applications. This is where machine learning inference becomes crucial, emerging as a primary con