AI REASONING: THE FOREFRONT OF IMPROVEMENT TRANSFORMING OPTIMIZED AND REACHABLE NEURAL NETWORK INTEGRATION

AI has achieved significant progress in recent years, with algorithms achieving human-level performance in various tasks. However, the real challenge lies not just in training these models, but in deploying them optimally in practical scenarios. This is where AI inference takes center stage, surfacing as a primary concern for scientists and tech le