NEURAL NETWORKS PREDICTION: THE BLEEDING OF EVOLUTION REVOLUTIONIZING EFFICIENT AND AVAILABLE NEURAL NETWORK ARCHITECTURES

Artificial Intelligence has advanced considerably in recent years, with algorithms matching human capabilities in various tasks. However, the real challenge lies not just in creating these models, but in implementing them efficiently in everyday use cases. This is where AI inference takes center stage, arising as a primary concern for scientists an