Start with workflows, not model training — it's the practical beginner move
A lot of people open a local model and immediately want to train their own. It sounds cool, and the instinct is understandable, but training is an advanced move. The practical beginner move is to find a repeated workflow first. Pick one folder, one model, one output, and run it about 10 times. Watch where the model gets confused, refine your prompt, add examples, add a checklist, and then build a small eval. Mastering that loop teaches you far more than jumping straight to fine-tuning.
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