INTERPRETING BY MEANS OF NEURAL NETWORKS: THE LEADING OF DEVELOPMENT REVOLUTIONIZING RESOURCE-CONSCIOUS AND ACCESSIBLE NEURAL NETWORK SYSTEMS

AI has advanced considerably in recent years, with models surpassing human abilities in diverse tasks. However, the real challenge lies not just in training these models, but in deploying them efficiently in everyday use cases. This is where inference in AI becomes crucial, emerging as a critical focus for researchers and industry professionals ali

AI has achieved significant progress in recent years, with algorithms matching human capabilities in numerous tasks. However, the main hurdle lies not just in creating these models, but in utilizing them optimally in real-world applications. This is where inference in AI becomes crucial, arising as a key area for scientists and industry professiona