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A useful way to understand Large Language Models is to separate the goal, the input, the model or tool, and the way the output is evaluated. One important area is productivity. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can...

For Announcements, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is creative uses. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell what actually improved the outcome...