NEURAL NETWORKS INTERPRETATION: THE CUTTING OF DEVELOPMENT ACCELERATING ACCESSIBLE AND RESOURCE-CONSCIOUS ARTIFICIAL INTELLIGENCE UTILIZATION

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