DECIDING VIA ARTIFICIAL INTELLIGENCE: THE BLEEDING OF GROWTH IN OPTIMIZED AND ATTAINABLE AUTOMATED REASONING INFRASTRUCTURES

Machine learning has achieved significant progress in recent years, with models matching human capabilities in diverse tasks. However, the real challenge lies not just in developing these models, but in utilizing them efficiently in real-world applications. This is where machine learning inference comes into play, arising as a key area for experts