Machine learning has made remarkable strides in recent years, with models achieving human-level performance in various tasks. However, the main hurdle lies not just in developing these models, but in implementing them efficiently in real-world applications. This is where machine learning inference takes center stage, arising as a critical focus https://ricardotciry.win-blog.com/7837795/reasoning-using-smart-systems-the-frontier-of-development-driving-lean-and-pervasive-computational-intelligence-systems