ANALYZING VIA AI: THE APEX OF DISCOVERIES FOR STREAMLINED AND REACHABLE NEURAL NETWORK ARCHITECTURES

Machine learning has made remarkable strides in recent years, with systems achieving human-level performance in diverse tasks. However, the true difficulty lies not just in creating these models, but in implementing them optimally in everyday use cases. This is where inference in AI takes center stage, arising as a primary concern for scientists an