AI PREDICTION: THE PINNACLE OF TRANSFORMATION IN OPTIMIZED AND REACHABLE NEURAL NETWORK ARCHITECTURES

Artificial Intelligence has advanced considerably in recent years, with models achieving human-level performance in diverse tasks. However, the true difficulty lies not just in training these models, but in utilizing them effectively in real-world applications. This is where machine learning inference becomes crucial, emerging as a primary concern