EXECUTING WITH NEURAL NETWORKS: THE VANGUARD OF IMPROVEMENT TRANSFORMING EFFICIENT AND ACCESSIBLE MACHINE LEARNING ALGORITHMS

Machine learning has achieved significant progress in recent years, with algorithms matching human capabilities in numerous tasks. However, the real challenge lies not just in training these models, but in deploying them effectively in real-world applications. This is where inference in AI becomes crucial, arising as a key area for scientists and i