INTERPRETING BY MEANS OF NEURAL NETWORKS: A TRANSFORMATIVE EPOCH REVOLUTIONIZING OPTIMIZED AND REACHABLE COGNITIVE COMPUTING FRAMEWORKS

Machine learning has advanced considerably in recent years, with models achieving human-level performance in numerous tasks. However, the true difficulty 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 critical focus for researchers and i

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 optimally in real-world applications. This is where machine learning inference takes center stage, surfacing as a key area for scientists and tech leaders al