AI has advanced considerably in recent years, with algorithms surpassing human abilities in diverse 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 for researchers https://llama322110.blogerus.com/50642064/interpreting-by-means-of-neural-networks-the-leading-of-evolution-driving-lean-and-pervasive-machine-learning-architectures