PREDICTIVE MODELS INTERPRETATION: THE FOREFRONT OF IMPROVEMENT TRANSFORMING REACHABLE AND OPTIMIZED NEURAL NETWORK REALIZATION

Artificial Intelligence has achieved significant progress in recent years, with models achieving human-level performance in numerous tasks. However, the main hurdle lies not just in training these models, but in implementing them effectively in real-world applications. This is where machine learning inference comes into play, arising as a key area