PREDICTING THROUGH COMPUTATIONAL INTELLIGENCE: THE APEX OF DISCOVERIES FOR STREAMLINED AND ATTAINABLE NEURAL NETWORK ARCHITECTURES

Artificial Intelligence has made remarkable strides in recent years, with models matching human capabilities in numerous tasks. However, the main hurdle lies not just in developing these models, but in implementing them effectively in practical scenarios. This is where inference in AI becomes crucial, emerging as a critical focus for experts and in