Executing with Neural Networks: The Unfolding Innovation of Inclusive and Rapid Automated Reasoning Ecosystems
AI has advanced considerably in recent years, with models achieving human-level performance in various tasks. However, the main hurdle lies not just in creating these models, but in implementing them efficiently in real-world applications. This is where inference in AI comes into play, arising as a critical focus for experts and industry profession