AUTOMATED REASONING PREDICTION: THE CUTTING OF PROGRESS OF UBIQUITOUS AND RAPID SMART SYSTEM MODELS

Artificial Intelligence 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 optimally in everyday use cases. This is where machine learning inference comes into play, arising as a primary concern for s