COMPUTING BY MEANS OF NEURAL NETWORKS: A TRANSFORMATIVE CYCLE ENABLING SWIFT AND UBIQUITOUS PREDICTIVE MODEL MODELS

Artificial Intelligence has advanced considerably in recent years, with models achieving human-level performance in various tasks. However, the real challenge lies not just in training these models, but in utilizing them optimally in real-world applications. This is where inference in AI becomes crucial, emerging as a primary concern for scientists