INTERPRETING WITH ARTIFICIAL INTELLIGENCE: THE BLEEDING OF TRANSFORMATION TOWARDS USER-FRIENDLY AND AGILE MACHINE LEARNING EXECUTION

AI has achieved significant progress in recent years, with systems matching human capabilities in various tasks. However, the main hurdle lies not just in training these models, but in utilizing them effectively in real-world applications. This is where machine learning inference becomes crucial, surfacing as a key area for experts and tech leaders