INTERPRETING WITH AUTOMATED REASONING: THE BLEEDING OF IMPROVEMENT FOR HIGH-PERFORMANCE AND UNIVERSAL ARTIFICIAL INTELLIGENCE ADOPTION

AI has advanced considerably in recent years, with algorithms matching human capabilities in various tasks. However, the real challenge lies not just in training these models, but in deploying them optimally in real-world applications. This is where AI inference comes into play, surfacing as a key area for scientists and industry professionals alik