NEURAL NETWORKS COMPUTATION: THE FOREFRONT OF IMPROVEMENT IN STREAMLINED AND ATTAINABLE SMART SYSTEM EXECUTION

Artificial Intelligence has advanced considerably in recent years, with models achieving human-level performance in diverse tasks. However, the real challenge lies not just in developing these models, but in utilizing them optimally in practical scenarios. This is where AI inference becomes crucial, arising as a primary concern for experts and inno