AI DEDUCTION: THE FOREFRONT OF GROWTH IN STREAMLINED AND ATTAINABLE NEURAL NETWORK ARCHITECTURES

Machine learning has advanced considerably in recent years, with algorithms achieving human-level performance in various tasks. However, the main hurdle lies not just in creating these models, but in implementing them efficiently in practical scenarios. This is where inference in AI comes into play, surfacing as a key area for scientists and indust