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I want to stabilize the tone and level of detail of explanatory text and reduce operational burden. What is the best way to ensure consistent quality?

Give a random prompt each time and prioritize diversity.
Continuously change the generative model’s initial settings to search for the optimal solution.
Ensure output consistency by preparing templated prompts and examples and standardizing the input format.
It's most efficient to keep prompts minimal and leave it up to the model.
Establish a rule that no editing will be performed after generation.

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