Analyzing via Machine Learning: A Disruptive Epoch revolutionizing Efficient and Available Deep Learning Architectures
Machine learning has advanced considerably in recent years, with algorithms achieving human-level performance in diverse tasks. However, the true difficulty lies not just in training these models, but in utilizing them efficiently in practical scenarios. This is where machine learning inference comes into play, surfacing as a critical focus for exp