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A guy on a YouTube demo showed me I was overthinking prompt length, and my outputs got better
I used to cram every detail into one huge prompt because I thought more info meant better answers, but he kept his under 30 words and the model handled it fine. He pointed out that short prompts fail because they are vague, not because they are short. Now I am rethinking my whole approach, has anyone else found a sweet spot for prompt length?
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