PREDICTING THROUGH AUTOMATED REASONING: THE ZENITH OF INNOVATION FOR STREAMLINED AND ATTAINABLE DEEP LEARNING ARCHITECTURES

AI has made remarkable strides in recent years, with algorithms surpassing human abilities in numerous tasks. However, the real challenge lies not just in developing these models, but in deploying them effectively in real-world applications. This is where machine learning inference becomes crucial, surfacing as a critical focus for scientists and i