REASONING USING SMART SYSTEMS: THE ZENITH OF BREAKTHROUGHS OF HIGH-PERFORMANCE AND INCLUSIVE AUTOMATED REASONING OPERATIONALIZATION

Artificial Intelligence has made remarkable strides in recent years, with models achieving human-level performance in diverse tasks. However, the true difficulty lies not just in training these models, but in utilizing them effectively in everyday use cases. This is where AI inference takes center stage, emerging as a primary concern for scientists

Machine learning has made remarkable strides in recent years, with models achieving human-level performance in diverse tasks. However, the main hurdle lies not just in training these models, but in implementing them efficiently in real-world applications. This is where AI inference comes into play, surfacing as a key area for researchers and innova