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Showing posts with the label Prompt Engineering

How Clear Prompts Improve AI Accuracy

  Examples of Good & Bad  Prompts and Outputs 📜Introduction In Human Computer Interaction,  Clear prompting is the link between what we intend and what AI predicts . In my last article ( How AI Understands You: Inside Human & AI Communication ), 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, ...