Follow the three C’s when writing your prompts.
How you approach writing your prompts dramatically impacts the result.
- Be concise: Keep prompts simple and avoid overly long or complex requests in a single prompt. A prompt that is short and to the point generally requires less processing from AI.
- Be clear: Be precise and avoid contradictory or ambiguous instructions. Vague prompts, like "Make this better," give AI too many possible paths and require it to make assumptions. Instead, give clearer direction with a more specific prompt, like "Revise this text to be more formal and add a call to action."
- Be consistent: Use the same vocabulary for the same concepts throughout your conversation with AI. For example, if you refer to a “spreadsheet” in your initial prompt, continue to say spreadsheet throughout the rest of your conversation. Using words like “matrix” or “tab” interchangeably in the same chat might cause the quality of your results to deteriorate over the course of your conversation.
Always evaluate the output
It’s important to evaluate the quality of AI output before using or sharing it. AI models can be prone to "hallucinations" — confident but incorrect responses — for several reasons:.
Hallucinations can happen when there were mistakes in the original training data, or when the AI has been asked to solve a never-seen-before problem or to understand real-world knowledge and physical things. On some occasions, the model may prioritize generating a plausible-sounding answer in order to satisfy the user’s prompt, effectively serving as a guess.
Another reason to evaluate AI output is because different AI models are programmed differently. Some models may be better suited to specific uses like writing code, while others might have limited outputs based on their specific training sets.
When evaluating AI output, focus on these key factors:
- Accuracy: Is the information correct and factually sound?
- Bias: Does the output favor one perspective unfairly because of its training data?
- Relevancy: Does it directly answer your prompt and stay on topic?
- Consistency: Is the tone, style, and quality the same throughout the response?
Any AI-generated output should serve as a starting point, not a final product. If an output isn’t what you need, iterate.
Improve your results with iterative prompting
Using the following techniques to clarify and refine your prompts (also known as iteration) can help you get better outputs.
Revisit the prompting guidelines: If your prompt isn’t giving you the results you need, try editing it by adding more detail to your persona, task, format, or context.