What You Need to Know About AI Promptsby@paperhouse
10,327 reads
10,327 reads

What You Need to Know About AI Prompts

by Henk van der DuimMarch 27th, 2023
Read on Terminal Reader
Read this story w/o Javascript

Too Long; Didn't Read

AI-prompts use machine learning algorithms to learn patterns and associations in data, allowing them to generate more human-like responses. They improve efficiency, help save costs and improve the customer experience. AI prompts are growing in popularity because they can be applied everywhere — from customer service to education.
featured image - What You Need to Know About AI Prompts
Henk van der Duim HackerNoon profile picture

Feature image created by Dall-E 2

Have you ever wondered what it’s like to chat with AI? I did, and I can tell you it was a chat-astrophe. I asked the AI how it felt, and it replied, ‘I feel great, thanks for asking. How can I help you with your existential crisis today?’

That’s the beauty of AI prompts: they can understand context and generate human responses that are sometimes too good to be true.

AI Prompts Explained

AI prompts are a powerful tool that uses artificial intelligence (AI). They use machine learning algorithms to learn patterns and associations in data, allowing them to generate more human-like responses. They improve efficiency, help save costs and improve the customer experience.

AI prompts are growing in popularity because they can be applied everywhere — from customer service to education.

How GPT is being trained

How Does It Work

AI prompts use Natural Language Processing (NLP) algorithms to respond based on a particular prompt or input. They learn through large data sets of text, such as social media or news articles. Deep learning helps them to recognize patterns and associations in the data.

When a prompt is given, the AI prompt model uses the patterns it has learned to generate a response that is contextually relevant to the input. This process is called “inference” and calculates the probabilities of different word sequences based on the prompt and training data.

The AI prompt model then selects the most likely word sequence and generates an answer similar to someone else’s.

ChatGPT: The AI Prompt Model

History and Development

ChatGPT is one of the most popular AI prompt models. It was developed by OpenAI, a research organization whose goal is to create safe and useful AI.

ChatGPT is built on the Generative Pre-trained Transformer (GPT) architecture, which uses deep learning algorithms to generate natural language responses based on a given input or prompt.

ChatGPT aims to conduct conversations and has been trained in advance on a large corpus of conversation data.

Since its launch, the model has become one of the most popular AI prompt models and is used in a variety of applications such as customer service, language translation, and creative writing.

OpenAI has released several versions since the release of the GPT model, each with greater capacity and better performance. GPT-3 was launched in June 2020 and received a lot of attention for its impressive language skills.

GPT-4 was released in March 2023 and ChatGPT is a specific application of the model trained only for conversational AI applications. By pre-training on a large amount of conversational data, it can generate responses that are contextually appropriate for the input.

In a short time, ChatGPT has become one of the most popular prompt models.

ChatGPT Launch Timeline | © Tooltester

Using AI Prompts

How AI Prompts Are Used

Here are some examples of how AI prompts are used in different areas:

  • Customer service: AI prompts are increasingly used in customer service to respond faster and more accurately to customer queries. For example, chatbots can be programmed with AI prompts to answer frequently asked questions, provide basic support, and even process orders.

  • Healthcare: AI prompts are used in healthcare to help doctors and nurses make more accurate diagnoses and treatment decisions. For example, AI prompts can be used to analyze patient data, suggest possible diagnoses, and recommend treatment options.

  • Education: In education, AI prompts are used to improve learning and student achievement.

  • Finance: AI prompts are used in finance to improve financial decision-making and reduce risk.

  • Retail: In retail, AI prompts are used to improve customer experience and increase sales. AI prompts can also be used to analyze inventory levels.

AI prompts are being deployed across many different industries and applications to improve efficiency, accuracy, and personalization. Given the technological advancements in AI, we can expect more innovative applications of AI prompts in the near future.

Prompt to have your resume reviewed:

I want you to act as a resume reviewer. I will give you my resume and you give me feedback on it.

Please add feedback on the following points: — What sections should I add to make my resume more readable. — How I can make my CV easier to scan. — What grades and results can I add to my CV. — What type of action verbs should I choose. — Am I using too much jargon and how to replace it.

The Benefit of Using AI Prompts

AI prompts provide several benefits to businesses and their customers. On the one hand, automating repetitive tasks, such as answering frequently asked questions, help. Thus, companies can improve efficiency. This can lead to faster response times and higher productivity.

On the other hand, AI prompts provide a personalized interaction with the customer by offering suggestions based on preferences and behavior.

In general, the use of AI prompts contributes to better efficiency and customer experience, which can ultimately contribute to the growing success of the Company.

Ethical Considerations of AI Prompts

Potential Ethical Issues

The use of AI prompts raises several ethical issues. First, the results may be biased because the training data may contain information from a specific group or demographic, which in turn may lead to discriminatory outcomes.

In addition, privacy can be violated by using information that can be traced back to individuals. It is therefore important that AI prompts are developed and used in an ethical manner, respecting the privacy of individuals and avoiding bias.

How Are These Issues Addressed?

Several initiatives are underway to address the ethical implications of using AI prompts. One way to do this is to improve the diversity and representativeness of the data used to train AI models.

Another approach is to implement transparency and accountability measures so that the development and use of AI prompts are fair and equitable.

For this, it is necessary to state the algorithms and data sources used, as well as implement control mechanisms to ensure that the results are fair and unbiased.

Finally, there are efforts to promote privacy and data protection through the development of data protection laws and regulations, such as the General Data Protection Regulation (GDPR) in the European Union.

These laws give individuals more control over their personal data and require organizations to take measures to protect the privacy rights of individuals.

To act as an educational content creator:

I want you to act as an educational content creator. You must create engaging and informative content for learning materials such as textbooks, online courses, and lecture notes.

My first suggestion request is, “I need help developing a renewable energy lesson plan for high school students.”

The Future of AI Prompts

The future improvements in AI prompts will likely amount to an increase in their accuracy and the number of applications that become possible. One area that shows promise for improvement is the development of more advanced natural language processing (NLP) techniques.

These can increase the precision of AI prompts in understanding and generating language. This would enable more complex and sensitive interactions with AI systems, which in turn could result in better and personalized answers to user questions.

How to Create An AI Prompt

For example, some tips to give ChatGPT the correct prompt:

  1. Determine your goal: Determine what you want to achieve with the prompt. Are you looking for a specific answer to a question, or are you looking for creative ideas or solutions to a problem?

  2. Be clear and concise: Write your prompt in a clear and concise manner, using correct grammar and spelling. Avoid using ambiguous language or overly complex sentences that may confuse the model.

  3. Provide context: Provide any relevant information or context that can help the model understand the task. This can be additional data or background information related to the topic of the prompt.

  4. Use a thesaurus: Don’t give up on a concept just because your first prompt didn’t produce the desired result. Often, finding the right word or wording can unlock what you’re looking for.

  5. Watch your verbs: If you want the AI to understand your request, make sure your prompt contains a verb that properly expresses your intent.

  6. ChatGPT is good at recognizing intentions: Make it clear from the start what you’re trying to do, and play with it. It is always helpful to place an umbrella of intent over what you want to do. Playing around with different ways to do that can make a big difference.

To act as title generator for articles:

I want you to act as an article title generator. I give you the topic and keywords of an article. You generate five catchy titles. Keep the titles concise and under 20 words and make sure to preserve the meaning.

My first topic is “LearnData a knowledge base built on VuePress, into which I integrated all my notes and articles, making it easy to use and share.”

In addition, it is useful to consider the limitations of the model and the type of responses it can generate.

While ChatGPT is an advanced AI language model, it’s important to remember that it doesn’t always provide the exact answer you’re looking for and may require multiple prompts or prompt tweaks to get to the desired result.

Ultimately, it is a statistical tool that gives the most plausible answer


AI prompts are an AI model that uses machine learning model algorithms so that responses can be generated in natural language. However, we cannot blindly assume that the responses are correct. Validation of the responses is still required.

Sources (and Tips) for AI Prompts I’ve Used: