More good news!
In a typical production setting, you want a way to replace in new models, or possibly train a model online. However, you need to be able to make this process seamless, or else risk losing service for a period of time. TensorFlow Serving offers a framework that manages the behind the scenes work of this process, so that the user can spend more time trying out new models. It’s in its infancy right now, but I’m excited to try it out soon.