INTERPRETING VIA ARTIFICIAL INTELLIGENCE: THE FOREFRONT OF GROWTH IN OPTIMIZED AND REACHABLE DEEP LEARNING FRAMEWORKS

Artificial Intelligence has advanced considerably in recent years, with systems 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, emerging as a key area for sc