Context Most ML frameworks I’ve encountered were built to be comprehensive. The framework I’m building needed to optimize for something different: getting out of the way. This is the manifesto behind a private MLOps framework I’ve been building — a distillation of what I’ve learned shipping ML systems, some of which worked, and some ofContinueContinue reading “MLOps Frameworks Should Be Catalysts, Not Limiters”