EXECUTING WITH NEURAL NETWORKS: THE CUTTING OF TRANSFORMATION TRANSFORMING OPTIMIZED AND REACHABLE DEEP LEARNING ALGORITHMS

AI has achieved significant progress in recent years, with systems surpassing human abilities in numerous tasks. However, the true difficulty lies not just in training these models, but in implementing them efficiently in practical scenarios. This is where inference in AI comes into play, arising as a critical focus for scientists and industry prof