REASONING USING SMART SYSTEMS: THE SUMMIT OF INNOVATION OF ENHANCED AND USER-FRIENDLY NEURAL NETWORK ARCHITECTURES

AI has advanced considerably in recent years, with models achieving human-level performance in numerous tasks. However, the true difficulty lies not just in training these models, but in implementing them optimally in real-world applications. This is where AI inference becomes crucial, surfacing as a critical focus for researchers and tech leaders