MACHINE LEARNING REASONING: THE FOREFRONT OF IMPROVEMENT TRANSFORMING OPTIMIZED AND REACHABLE DEEP LEARNING ARCHITECTURES

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 optimally in practical scenarios. This is where machine learning inference comes into play, arising as a key area for ex