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

I have a question about Learning AI that may be useful for other people working with it too. I am particularly interested in cost control and learning curve. I would like to compare approaches that people have actually used rather than just theoretical suggestions. What trade-offs have you...