I’ve been diving into the latest advancements in energy-efficient AI algorithms, particularly how they can optimize data processing without compromising performance. Recently, I came across a paper on model compression techniques that claim to reduce energy consumption by up to 40%. I’m curious if anyone has practical experience implementing these techniques in a production environment and what tools you found most effective.