PREDICTING THROUGH AI: A CUTTING-EDGE PERIOD POWERING AGILE AND UBIQUITOUS DEEP LEARNING ARCHITECTURES

Machine learning has achieved significant progress in recent years, with systems achieving human-level performance in diverse tasks. However, the true difficulty lies not just in creating these models, but in deploying them effectively in real-world applications. This is where machine learning inference comes into play, arising as a primary concern