PREDICTING THROUGH COMPUTATIONAL INTELLIGENCE: THE ZENITH OF BREAKTHROUGHS FOR STREAMLINED AND ATTAINABLE DEEP LEARNING FRAMEWORKS

Machine learning has advanced considerably in recent years, with models matching human capabilities in numerous tasks. However, the main hurdle lies not just in creating these models, but in utilizing them optimally in real-world applications. This is where inference in AI comes into play, emerging as a critical focus for researchers and industry p