- Be specific. The model is not able to guess what you would like to achieve, so you need to state it directly.
- Instruct the model to adopt a persona – it helps in receiving more relevant responses.
- Use delimiters like “*”, newline etc. to indicate distinct parts of the input.
- Split big tasks into smaller subtasks.
- Provide examples of what response you would like to receive.
- Write clear instructions and avoid using ambiguous words.
- Carefully test the prompt to ensure that the outcome is always correct.
Example:
Good prompt: Prepare me an analysis of sales data for year 2024. Include this columns only: ColumnA, ColumnB, ColumnC. Use formal tone and refer to the data provided only.
Bad prompt: Prepare me an analysis of sales data.
The main rule is:
The more details you include, the more tailored outcome you’ll receive.
Useful guides: