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Prompt Engineering Basics
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== Common mistakes == | Mistake || Why it fails || Better approach | "Write something good about X" || Too vague β "good" means nothing to a model || Specify length, audience, tone, and purpose | Putting instructions ''after'' the content || AI may lose track of late instructions in long prompts || Instructions first, content second | Asking for everything at once || Quality drops when the task is too broad || Break complex tasks into smaller prompts, chain the outputs | No examples for ambiguous tasks || The model interprets differently than you expect || Add 2β3 examples of what you want | Accepting the first output || First drafts are rarely best || Ask for revisions: "Make this more concise" or "Rewrite focusing on X"
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