Examples of Prompts and their respective Outputs πIntroduction Clear prompting is the link between what we intend and what AI predicts . In my last article, I called it the bridge between human language and AI's probability engine . This follow-up post shows how small changes in our prompts can dramatically improve accuracy . The goal isn't to write perfect prompts . It's simply to give AI enough context, clarity and direction so that the prediction pathway becomes more precise. ❌Example 1: Bad or Inadequate Prompt + Inadequate Output Bad Prompt: Explain coffee. Likely Output (example): Coffee is a popular beverage made from roasted beans. People drink it in many countries, and it can be prepared in various ways. Why it’s inadequate: It’s vague. It doesn’t specify audience, purpose, angle, or depth. AI must guess what you want, so it defaults to a generic, surface-level summary . ✅Example 2: Good Prompt + Improved Output Good Prompt: Give me a bri...
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