DECIDING VIA ARTIFICIAL INTELLIGENCE: THE VANGUARD OF IMPROVEMENT IN STREAMLINED AND ATTAINABLE NEURAL NETWORK SOLUTIONS

Machine learning has achieved significant progress in recent years, with systems achieving human-level performance in diverse tasks. However, the main hurdle lies not just in training these models, but in utilizing them effectively in practical scenarios. This is where inference in AI comes into play, surfacing as a critical focus for experts and i