Machine learning has achieved significant progress in recent years, with systems achieving human-level performance in diverse tasks. However, the real challenge lies not just in creating these models, but in deploying them effectively in real-world applications. This is where inference in AI comes into play, arising as a primary concern https://stephenfntxb.bloggerswise.com/34411173/smart-systems-analysis-the-cutting-of-development-accelerating-accessible-and-resource-conscious-machine-learning-realization