REASONING USING AUTOMATED REASONING: THE CUTTING OF DEVELOPMENT POWERING AGILE AND UBIQUITOUS PREDICTIVE MODEL SYSTEMS

Machine learning has made remarkable strides 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 optimally in practical scenarios. This is where machine learning inference takes center stage, arising as a key area for researchers and i