DEEP LEARNING COMPUTATION: THE VANGUARD OF TRANSFORMATION IN STREAMLINED AND ATTAINABLE COGNITIVE COMPUTING EXECUTION

Machine learning has achieved significant progress in recent years, with systems surpassing human abilities in diverse tasks. However, the main hurdle lies not just in developing these models, but in deploying them efficiently in real-world applications. This is where inference in AI comes into play, surfacing as a primary concern for scientists an