MACHINE LEARNING PREDICTION: THE APPROACHING PARADIGM ENABLING UNIVERSAL AND SWIFT COMPUTATIONAL INTELLIGENCE OPERATIONALIZATION

Artificial Intelligence has made remarkable strides in recent years, with models achieving human-level performance in diverse tasks. However, the true difficulty lies not just in creating these models, but in utilizing them optimally in everyday use cases. This is where AI inference takes center stage, surfacing as a key area for researchers and in