AI, Data Science, Deep Learning, Software Engineering, Production.
engineering perspective because it implies that there is one common infrastructure that we should optimize for production — training and inference with large neural networks. With this one optimized infrastructure, we should be able to nail most ML pipelines of the future. Prohibitive