SMART SYSTEMS PREDICTION: THE APPROACHING PARADIGM FOR USER-FRIENDLY AND HIGH-PERFORMANCE AUTOMATED REASONING ADOPTION

Machine learning has advanced considerably in recent years, with systems matching human capabilities in numerous tasks. However, the real challenge lies not just in training these models, but in deploying them effectively in everyday use cases. This is where inference in AI becomes crucial, arising as a key area for scientists and innovators alike.