DECIDING THROUGH AI: THE LEADING OF EVOLUTION ACCELERATING RESOURCE-CONSCIOUS AND ACCESSIBLE MACHINE LEARNING FRAMEWORKS

AI has advanced considerably in recent years, with algorithms matching human capabilities in various tasks. However, the true difficulty lies not just in training these models, but in implementing them optimally in practical scenarios. This is where AI inference becomes crucial, surfacing as a primary concern for researchers and tech leaders alike.

AI has achieved significant progress in recent years, with systems surpassing human abilities in various tasks. However, the main hurdle lies not just in training these models, but in utilizing them efficiently in real-world applications. This is where inference in AI takes center stage, emerging as a primary concern for researchers and tech leader