Moving from Red AI to Green AI: A Practitioner's Guide to Efficient Machine Learning

In our previous post, we talked about how red AI means adding computational power to "buy" more accurate models in machine learning, and especially in deep learning. We also talked about the increased interest in green AI, in which we not only measure the quality of a model based on accuracy but also how big and complex it is. We covered different ways of measuring model efficiency and showed ways to visualize this and select models based on it. Maybe you also attended the webinar? If not, take a look at the recording where we also cover a few of the points we'll describe in this blog post.