ARTIFICIAL INTELLIGENCE PREDICTION: THE ZENITH OF BREAKTHROUGHS IN OPTIMIZED AND REACHABLE DEEP LEARNING ARCHITECTURES

Machine learning has achieved significant progress in recent years, with systems matching human capabilities in various tasks. However, the main hurdle lies not just in developing these models, but in deploying them optimally in practical scenarios. This is where inference in AI takes center stage, arising as a critical focus for scientists and ind