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The Short Answer The term "loop engineering" is everywhere right now, and it sounds like a new craft. My view: the idea is leftovers, but this is the first time the leftovers are actually edible. The leftover part: let a system iterate on its own, use a set of criteria to judge how each round went, adjust from the feedback, and repeat until the goal is met. That is the most basic machine learning training loop, and also the feedback loop from control theory. The new part: in the past, what got adjusted inside the loop had to be numbers (model parameters). Now it can be a piece of text, a…

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