EXECUTING WITH DEEP LEARNING: THE BLEEDING OF GROWTH IN ENHANCED AND INCLUSIVE ARTIFICIAL INTELLIGENCE INTEGRATION

AI has achieved significant progress in recent years, with systems achieving human-level performance in numerous tasks. However, the true difficulty lies not just in training these models, but in implementing them efficiently in real-world applications. This is where inference in AI takes center stage, emerging as a primary concern for researchers