DEEP LEARNING ANALYSIS: THE CUTTING OF DEVELOPMENT IN STREAMLINED AND REACHABLE NEURAL NETWORK ARCHITECTURES

Machine learning has made remarkable strides in recent years, with systems achieving human-level performance in numerous tasks. However, the true difficulty lies not just in creating these models, but in deploying them efficiently in everyday use cases. This is where AI inference comes into play, emerging as a critical focus for scientists and tech