PREDICTING VIA NEURAL NETWORKS: THE ZENITH OF PROGRESS ENABLING RAPID AND WIDESPREAD PREDICTIVE MODEL SYSTEMS

Artificial Intelligence has made remarkable strides in recent years, with models achieving human-level performance in numerous tasks. However, the real challenge lies not just in developing these models, but in deploying them effectively in practical scenarios. This is where AI inference becomes crucial, surfacing as a key area for experts and indu