ml-engineer-pro video for as you keep an eye on your model training and observe the GPU utilization, you come to realize that you're using a native synchronous
As you keep an eye on your model training and observe the GPU utilization, you come to realize that you're using a native synchronous implementation. Moreover, your training data is divided into several files, and you're eager to minimize the execution time of your input pipeline. What steps should you take to address this situation?