NEURAL NETWORKS DECISION-MAKING: THE VANGUARD OF IMPROVEMENT IN OPTIMIZED AND REACHABLE DEEP LEARNING ARCHITECTURES

AI has made remarkable strides in recent years, with models matching human capabilities in various tasks. However, the true difficulty lies not just in training these models, but in utilizing them effectively in everyday use cases. This is where AI inference takes center stage, arising as a critical focus for scientists and industry professionals a