Prompt Engineering as a Growth Engine: 7 Steps to Master ChatGPT
Exploiting AI for Competitive Advantage in Digital Marketing and Passive Income
If you know about natural language processing (NLP), you've probably heard of GPT from OpenAI, one of the world's most significant language models.
GPT can make writings that is indistinguishable from what a person would write, and it has been used for many things, like chatbots and creating web content.
One of the things that makes GPT work is that it uses "prompts," which are short statements or sentences that give the model information about the situation and tell it what to say.
In this 7-step tutorial, we'll go through the process of prompt engineering in ChatGPT, a language model based on the GPT design, step by step.
Letโs dive in!
Step 1: Define the Task
The first and most crucial step in prompt engineering is to describe the job. It means figuring out exactly what problem or job you want to solve with ChatGPT and describing it clearly and concisely.
The more specific and well-defined your job is, the easier it will be to make an effective prompt that guides the model's output.
It's essential to think about the following when describing the task:
The goal:ย What do you want the model to do for you? Do you want to write something artistic, answer questions, or do something else?
The audience:ย Who are the people for whom the model's results are meant? What do they want, and what do they need?
The context:ย In what kind of situation will the output be used? Is it for customer service, business, or something else?
The constraints:ย Are there any limits on what the model can come up with? Does it have to be a certain length, structure, or style, for example?
Once you know the job, you can use it to help you write your prompt. The job should be clear enough to tell the model what to do but also be open enough to let the model's results vary.
By clearly describing your job and giving it some thought, you can make sure that your prompt will help the model meet your needs.
Step 2: Identify Relevant Keywords
One of the most crucial steps in prompt engineering is finding pertinent keywords. It entails picking precise words and phrases that will point the model's response in the direction of the intended outcome.
You can be confident that the model understands the context of the assignment and produces relevant results by inserting pertinent keywords in your prompt.
Take the following into account when choosing keywords:
The task:ย What is the exact thing you want to do? What are the main ideas and themes at play?
The audience:ย Who are the people for whom the model's results are meant? What words and sentences do they probably know and use?
The context:ย In what kind of situation will the output be used? Are there words or phrases that are often used in this situation?
The constraints:ย Are there any limits on what the model can come up with? Do you need the result to be a certain length or in a specific format, for example?
Once you know what keywords are important, you can use them to craft your prompt. The keywords should be added in a way that gives the model enough context to produce the result you want but doesn't give it too much information.
You should try out different mixtures of keywords and phrases to find the best way to control how the model works.
Also, it's important to remember that buzzwords can help guide the model's results, but they shouldn't be the only thing you think about when making your prompt. Your prompt should also give the tool enough context and direction to help it understand the job and make the correct output.
Step 3: Write the Prompt
Once you know what the job is and what keywords are important, you can use them to write your prompt. A "prompt" is a short statement or question that gives the model enough context and direction to make the result you want.
You must write a persuasive prompt to get the answers you want from ChatGPT.
When writing your prompt, you should keep this in mind:
Keep it simple and concise:ย Your question should be short and precise. Avoid using hard-to-understand words or lines that are too long. It can confuse the model and lead to erroneous results.
Use relevant keywords:ย Use the keywords you picked out in step 2 in your prompt. It will help direct the model's results and make sure they are useful for the job.
Provide enough context:ย Your prompt should give the model enough information to understand the job and come up with the correct answer. But be careful not to give too much knowledge to the model.
Use precise language:ย Remember to use clear, easy-to-understand words in your question. Use direct, simple words that are easy for the model to understand.
Here are some examples of prompts:
Come up with a short story about a little girl who finds something strange in the woods. The goal is to write an essay for teenagers.
Give a full answer to the question, "What is the meaning of life?โ. Use a scientific approach, but a simple language for average people to understand.
Write the outline for an educational video that explores the Solar System and its role in the Milky Way. The target group is kids interested in space.
Once you've written your prompt, weโll move on to step 4, 5, 6 and lastly 7. The next step is about trying out and improving the prompt to make the model's output better.