PREDICTING VIA DEEP LEARNING: A CUTTING-EDGE PHASE OF HIGH-PERFORMANCE AND UNIVERSAL AI ARCHITECTURES

Artificial Intelligence has advanced considerably in recent years, with models achieving human-level performance in various tasks. However, the real challenge lies not just in training these models, but in utilizing them optimally in practical scenarios. This is where machine learning inference becomes crucial, emerging as a critical focus for expe