To harness the power of AI and get the best out of it, we need to direct it in the right way. The secret lies in the way we direct the commands.
Based on the commands we type, the interaction between us and AI tools improves, saving time and improving the user experience.
So, knowing how to write AI prompts is essential these days.
In this article, we will provide you with effective tips for writing AI commands in order to obtain accurate and high-quality results.
1. Write clear commands.
When writing AI commands, pay close attention to the clarity of the commands in terms of meaning and purpose. Do not expect AI models to be able to understand your thoughts.
One of the benefits of using explicit commands is that it makes AI models focus their capabilities on accomplishing the required task.
When writing ambiguous commands, the results will be ambiguous and inaccurate, and when the command is general and not specific, such as “What do you know about phones?” the answer will be general and inaccurate.
So, in that case, you should explain to him precisely what you want to know about phones, it is better to write “mention the advantages and disadvantages of mobile phones” or “Who invented the phone?” or “What are the latest developments in the phone industry?”
It is important to use precise words to describe the task to be accomplished, and to clarify the purpose of the task, while mentioning some conditions (Constraints) to direct it in the right direction.
example: “Write me a 10-line paragraph about the advantages of mobile phones.” Here we have explained exactly what we want, and set the condition of writing in 10 lines.
2. State the context.
When writing commands for artificial intelligence, be careful to mention important details to get accurate results. Know that lack of details leads to ambiguity of the results. Try not to give it unimportant details, as they may lead to the opposite result.
example: Instead of saying, “Write me a plan to learn German,” give him some context, such as, “I am a beginner and I will learn German from scratch. I want to reach the intermediate level within 6 months. My goal in learning is to be able to communicate with people.”.
3. Explain with examples
AI models learn through examples, so when you give them examples, AI models can understand exactly what you want, which can direct them to the desired path and get the job done in less time.
For example, you can ask the AI to create a graph of some data and attach an example of what the graph you want it to look like.
But you should pay attention to the copyrights of the attached materials.
Read also: What is Prompt Engineering?
4. Define roles
When you ask AI to perform any task, specify the role it will play, for example, will it simulate the role of a software engineer, a teacher, or a designer. Defining roles improves the quality and accuracy of the results.
Let’s say you want a paragraph you wrote to be proofread. You’ll say to the AI, “You’re a proofreader, correct this paragraph for me, pointing out the grammatical and spelling errors.”
5. Ask for multiple options.
AI models have a huge long-term memory, so you can use that to ask for multiple suggestions or different options instead of just one suggestion.
For example, instead of asking for one idea for an article on a topic, ask for 5 ideas, or when you ask for a name suggestion for your new product, ask for 3 suggestions instead of one.
This in turn has some advantages including:
- Encourage the AI model to explore multiple paths, leading to a variety of answers.
- Reduce bias towards a particular answer.
6. Select the format of the results.
Artificial intelligence is capable of producing different types of content, such as stories, articles, images, audio materials, videos, codes, and more.
So when you ask the AI for anything, explain to it what the results will look like, for example, will the results be in the form of a table or in the form of points, paragraphs, or graphs, etc., and you can also specify the linguistic style.
example: When you ask AI to summarize a text, ask it that you want the summary to appear in the form of points, or you can specify the nature of the language of the results, whether it is a language suitable for children, adults, the general public, or intellectuals.
7. Test several different commands.
Getting the best results doesn’t come the first time, but by testing and improving each time.
Some modifications can have a significant impact on improving results, including changing words, contexts, conditions, and examples.
After each time, you should evaluate the quality of the results and make some adjustments and improvements in light of that.
It is best to start by writing simple commands and then add other elements in sequence.
8. Break the task into smaller tasks.
AI models work efficiently if you divide the task into small tasks, and give accurate and better results than a large task.
It is better to divide the task into smaller tasks and work on each one separately and then combine them to get the desired result.
example: Instead of asking AI to write a 1,000-word essay at once, ask it to write the introduction, then the body, and then the conclusion.
9. Follow these important points
- Do not use prohibitive methods, but ask clearly for what you want. For example, do not say to him: “Do not summarize the article in the form of points,” but rather say to him: “Summarize the article in one paragraph.”
- Avoid using technical terms unless necessary.
- Test the commands on more than one AI program like Copilot, ChatGPT, or Gemini to see different results.
- You can continue your conversation with the AI as long as you don’t close the page, and you don’t have to start from the beginning every time.
- Use AI software to write the best commands for AI.
Conclusion
In conclusion, we have provided you with the most effective tips for writing AI commands, and by following these tips you will be able to get accurate results from AI tools in less time.
But keep in mind that what AI produces may contain incorrect, fabricated, misleading or biased information, so don’t forget to always review and check the quality of AI production.
