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Guide to Prompt Engineering: How to Use Open AI’s Models for Prompt Engineering

8 mins

Marko Georgiev

Published by: Marko Georgiev

21 June 2024, 12:20PM

In Brief

OpenAI leads AI development with its innovative GPT models.

Prompt engineering is essential for optimizing AI responses.

Being descriptive in prompts yields more accurate AI outputs.

Follow-up questions refine and improve AI responses.

Custom instructions fine-tune AI output to meet specific needs.

Guide to Prompt Engineering: How to Use Open AI’s Models for Prompt Engineering

With the recent boom of artificial intelligence, OpenAI is at the forefront of it all with its revolutionary GPT models.

Almost 50% of all AI models are some kind of ChatGPT wrapper.

Being efficient with LLMs can take time, as prompt engineering is becoming a useful skill everybody should know.

As this technology is pretty new, people are still getting used to the whole idea of prompt engineering.

This Open AI prompt engineering guide will teach you the basics of prompt engineering and help you improve your AI responses.

Let’s not waste any more time and jump right into it.

What is Prompt Engineering?

The term prompt engineering is a fairly new phenomenon that many AI enthusiasts will recognize.

When you write a prompt to an AI chatbot, you’ll always receive a relevant response to your request, but it doesn’t mean that it’s the thing you wanted.

AI models react to specific prompts differently, so naturally, knowing how their search engine works can do wonders for your requests.

Prompt engineering is an easy skill to pick up but difficult to master, as newer models are constantly introduced.

Moreover, knowing how to write AI requests is poised to become a career path, so understanding the ins and outs of prompt engineering will be beneficial in the long run.

How to Get Better Results?

1. Be Descriptive

Being as descriptive as possible is one of the best ways to get the desired results as you further explain your request to the chatbot.

Always start simple, as it may generate the very thing you’re looking for, but if not, expand your prompt as much as you want.

For example, instead of  “Talk about plants,” you can ask, “Describe the growth process of sunflowers from seed to bloom, and focus on key stages.” 

This will not only give better results but also structure the response with bullet points and key features and make it easier for you to navigate through.

2. Follow Up Questions

If the first response isn’t what you were looking for, you can always write a follow-up prompt to ensure the correct response.

Follow-up questions can help refine and direct the conversation, making sure you get exactly what you need from the AI.

An example is to ask a chatbot to write you a 300-word essay and, after the initial generation, give you a detailed summary. 

It's like having a back-and-forth chat, guiding the AI to be more accurate and detailed, and ensuring you get the most out of the conversation.

3. Custom Instructions

Most AI models have options to customize their responses or tweak their settings to be more accurate.

Custom instructions fine-tune the AI's responses to perfectly suit your needs, whether you need a professional tone, specific details, or a particular structure. 

Think of it as you’re a movie director, and the AI is your actor. You can guide the acting and the script however you want, increasing the actor’s performance.

For example, ChatGPT allows you to customize your responses just by explaining a specific scenario and explaining the result you want.

Furthermore, image and video generation AI models can let you alter settings to make your image unique.  

4. Research and Experiment

The most important thing to do is to research the AI model you use and experiment with different prompts.

You start by figuring out what kind of answers you want, then experiment with different prompts to see what works best.

Sometimes, you hit the jackpot on the first try, but often, it takes a few tweaks. Experimenting with different prompts and instructions helps you understand how the AI thinks. 

It’s all about trial and error, learning from what works, and constantly tweaking until you get that perfect response.

Use Cases

There are hundreds of use cases where having more efficient prompts can be a massive game-changer. Here's a list of a few to help you get the idea.

Content Creation

Chatbots are extremely good at writing high-quality content and can help anyone looking to enhance their skills further.

Prompt engineering will be necessary to get optimal and unique responses to get the best results.

Artificial intelligence can tackle almost anything content-related, such as:

  • Blogs and Articles
  • YouTube Scripts
  • Social Media Content
  • Marketing Material

With the correct prompts, you’ll be able to create and fine-tune content unique to your writing style and increase your overall productivity.

Customer Support

Many businesses nowadays have automated customer support agents, which are customized AI models that act as agents.

With this in mind, many models, including ChatGPT, can be customized to get the full effect.

There are many benefits to having an automated customer service system, like:

  • 24/7 Coverage
  • Instant Reply
  • Instructive Support

Please note that AI can’t fully replace a human customer support agent; it just increases the team's overall effectiveness.

Image Generation

Recent discoveries have shown that AI can generate photorealistic images with just a single prompt. But what if you want a more unique photo that requires more thought?

Well, that's where prompt engineering comes into play, as a well-defined prompt can separate you from the desired image.

Moreover, most AI image generation tools have more than one large language model, each specializing in a particular art style.

A descriptive and easy-to-understand prompt is crucial for any kind of image or video generation, as it helps the AI model better understand your request.

Code-Generation and Debugging

Programmers can significantly benefit from AI as large language models are specialized in understanding programming paradigms.

Prompt engineering can help instruct the AI model on implementing new code or fixing syntax or logical errors.

Need a new feature? Just describe what you want, and the AI can help generate the code. 

Got a bug? Explain the problem, and the AI can suggest fixes for syntax or logical errors.

This makes coding and debugging easier, saving programmers a lot of time and effort. So, whether you're building something new or troubleshooting, prompt engineering is a handy tool. 




It’s no surprise that prompt engineering is a valuable skill for anyone who dabbles with AI.

As more people start to use AI, the skill will become more valuable, and this guide aims to help you better understand the art of AI prompts.

With the pace at which artificial intelligence is growing, prompt engineering can even become a full-blown career path.

Frequently Asked Questions

In hindsight, prompt engineering is the art of fine-tuning your prompts so that GPT models can better understand your clear instructions and give you better results.

There are specialized techniques for writing prompts, and mastering that skill can be a game-changer in that field.

Yes, OpenAI offers free resources and courses on prompt engineering. These materials help users understand how to use and optimize AI models for various tasks effectively. 

These resources are found on OpenAI's website and educational platforms like Coursera.

Yes, prompt engineering has a future. 

As AI models become more advanced, the ability to craft effective prompts will be crucial for optimizing their performance. 

This skill will improve AI applications in various fields, from content creation to programming and research.

Well, yes, AI prompt engineering is a skill.

It involves crafting effective prompts to guide AI models in generating desired outputs, requiring an understanding of both the model's capabilities and the task at hand.

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