DECIDING BY MEANS OF SMART SYSTEMS: THE BLEEDING OF IMPROVEMENT TRANSFORMING STREAMLINED AND ATTAINABLE MACHINE LEARNING INFRASTRUCTURES

Machine learning has advanced considerably in recent years, with algorithms matching human capabilities in various tasks. However, the main hurdle lies not just in developing these models, but in utilizing them effectively in practical scenarios. This is where inference in AI comes into play, arising as a critical focus for scientists and industry