EXECUTING WITH NEURAL NETWORKS: THE VANGUARD OF TRANSFORMATION FOR STREAMLINED AND USER-FRIENDLY SMART SYSTEM SOLUTIONS

Machine learning has advanced considerably in recent years, with algorithms matching human capabilities in various tasks. However, the true difficulty lies not just in training these models, but in implementing them efficiently in everyday use cases. This is where inference in AI takes center stage, emerging as a primary concern for researchers and