NEURAL NETWORKS EXECUTION: THE FOREFRONT OF IMPROVEMENT REVOLUTIONIZING ACCESSIBLE AND RESOURCE-CONSCIOUS DEEP LEARNING REALIZATION

Artificial Intelligence has achieved significant progress in recent years, with systems achieving human-level performance in diverse tasks. However, the true difficulty lies not just in developing these models, but in deploying them optimally in everyday use cases. This is where machine learning inference takes center stage, emerging as a primary c