EXECUTING WITH NEURAL NETWORKS: THE VANGUARD OF IMPROVEMENT IN OPTIMIZED AND REACHABLE DEEP LEARNING FRAMEWORKS

Machine learning has made remarkable strides in recent years, with models 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 inference in AI comes into play, arising as a critical focus for scientists and ind