EXECUTING WITH NEURAL NETWORKS: THE VANGUARD OF IMPROVEMENT TRANSFORMING EFFICIENT AND AVAILABLE MACHINE LEARNING FRAMEWORKS

Machine learning has advanced considerably in recent years, with models matching human capabilities in diverse tasks. However, the true difficulty lies not just in training these models, but in utilizing them effectively in real-world applications. This is where AI inference becomes crucial, surfacing as a key area for researchers and innovators al