A Prompt is a piece of text or an instruction that you provide to a natural language model in order to generate a specific response or output
- Understand What You Want from the LLM - Before writing your prompt, it’s essential to know what you’re trying to achieve.
- Start Simple - Begin with a straightforward sentence or question
- Be Specific and Clear - The more specific your prompt, the more accurate the response. Avoid vague or overly broad questions.
- Give Context or Background When Needed - If you want a response to focus on a particular area, include some context or background information. This can help guide the LLM toward a more useful answer.
- Use Constraints for More Focused Output - If you want the answer in a particular format or within certain constraints, include that in your prompt. You can also use Output Format to clarify what you need as a response.
- Use Step-by-Step Instructions for Complex Queries - For more complicated requests, break down your prompt into steps. This can help the LLM follow your logic and respond more effectively.
- Use Markdown Formatting - You can leverage formatting to help the LLM understand the Prompt structure or focus on key parts of the text, as they are sensitive to markdown.