NEURAL NETWORKS PREDICTION: THE APPROACHING LANDSCAPE ENABLING UNIVERSAL AND RAPID AUTOMATED REASONING EXECUTION

AI has made remarkable strides in recent years, with systems achieving human-level performance in numerous tasks. However, the true difficulty lies not just in developing these models, but in implementing them effectively in everyday use cases. This is where inference in AI becomes crucial, arising as a key area for researchers and industry profess