Monday, April 17, 2023

10 top example prompts to use with ChatGPT

In the context of OpenAI's ChatGPT or similar language models, "prompts" refer to the input provided to the model in the form of a prompt or a query to generate a response. A prompt typically consists of a piece of text or a question that serves as an instruction for the model to generate a relevant and coherent response.

For example, a prompt for ChatGPT could be:

Prompt: "Please provide a brief overview of the latest market trends in the technology industry."

The model then processes the prompt and generates a response based on its training and knowledge, providing insights or information related to the given topic.

Prompts are a way to interact with language models and guide their output. They can be used to ask questions, request information, initiate a conversation, or perform various other tasks depending on the intended use case. Prompt engineering, or crafting effective prompts, is an important skill in utilizing language models effectively to obtain desired results.

Here are 10 top example prompts to use with ChatGPT, along with the key words that can indicate the type of output results:


Prompt: "Tell me about the history of [key word: historical event/person/place]."

Example: "Tell me about the history of the American Revolution."


Prompt: "Explain the concept of [key word: concept/term]."

Example: "Explain the concept of artificial intelligence."


Prompt: "Compare and contrast [key words: two things]."

Example: "Compare and contrast dogs and cats."


Prompt: "List the advantages and disadvantages of [key word: topic]."

Example: "List the advantages and disadvantages of social media."


Prompt: "Provide tips for [key word: activity/task]."

Example: "Provide tips for studying effectively."


Prompt: "Create a story about [key word: story genre/character]."

Example: "Create a story about a detective solving a murder case."


Prompt: "Recommend [key word: product/service]."

Example: "Recommend a good book for a mystery lover."


Prompt: "Debate the pros and cons of [key word: topic]."

Example: "Debate the pros and cons of renewable energy sources."


Prompt: "Describe the process of [key word: process/activity]."

Example: "Describe the process of making chocolate from cocoa beans."


Prompt: "Predict the future of [key word: topic]."

Example: "Predict the future of virtual reality technology."

Remember to tailor your prompts based on your desired output and experiment with different variations to get the best results from the language model.


OpenAI' s ChatGPT is a large language model powered by the GPT architecture. It is a cutting-edge artificial intelligence (AI) model that is trained on vast amounts of text data and is capable of generating human-like text responses to a wide range of prompts and questions. OpenAI' s ChatGPT can help companies in various ways, including:

  1. Customer support: ChatGPT can be used to provide automated customer support through chatbots, helping companies handle customer inquiries, provide information, and resolve issues in a timely and efficient manner.
  2. Content creation: ChatGPT can assist in generating high-quality content, such as articles, blog posts, social media posts, and product descriptions, helping companies streamline their content creation processes and save time.
  3. Virtual assistants: ChatGPT can function as a virtual assistant, helping with scheduling, reminders, and other administrative tasks, freeing up human resources for more strategic and higher-level activities.
  4. Market research: ChatGPT can help companies gather insights and conduct market research by generating surveys, analyzing data, and providing valuable information on customer preferences, trends, and opinions.
  5. Language translation: ChatGPT can aid in language translation tasks, helping companies communicate with international customers, partners, and stakeholders more effectively.
  6. Training and education: ChatGPT can be used in training and educational settings to provide interactive lessons, tutorials, and simulations, enhancing the learning experience for employees or students.

Overall, OpenAI' s ChatGPT has the potential to revolutionize various aspects of business operations by leveraging its advanced natural language processing capabilities to automate tasks, generate content, and provide valuable insights.


The role of prompts engineering involves designing, crafting, and refining prompts or input instructions that are used to interact with language models like ChatGPT. This process aims to optimize the performance and behavior of the language model to generate desired outputs that meet specific requirements or goals.

The responsibilities of prompts engineering may include:

  1. Designing effective prompts: Creating prompts that are clear, concise, and tailored to the desired output. This involves choosing the right phrasing, tone, and context to elicit the desired response from the language model.
  2. Experimenting with prompt variations: Iteratively refining and experimenting with different prompt variations to fine-tune the model's responses. This may involve tweaking the prompt structure, changing key words, or modifying the instructions to get desired results.
  3. Analyzing model outputs: Analyzing the generated outputs from the model and evaluating their quality, relevance, and accuracy. This may involve testing and benchmarking the model with different prompts to assess its performance.
  4. Collaborating with domain experts: Collaborating with domain experts or subject matter specialists to develop prompts that align with their specific requirements and domain knowledge. This may involve understanding the domain-specific jargon, nuances, and context to create prompts that yield relevant results.

The benefits of prompts engineering to a company can include:

  1. Improved model performance: By designing effective prompts, prompts engineering can help optimize the model's responses and improve its overall performance, resulting in more accurate and relevant outputs that align with the company's goals.
  2. Customized outputs: Prompts engineering allows customization of the model's outputs based on specific requirements, allowing the company to generate tailored responses that meet their specific needs or use cases.
  3. Domain-specific results: By collaborating with domain experts, prompts engineering can help generate domain-specific results that align with the company's industry or domain, providing valuable insights and information for decision-making.
  4. Enhanced user experience: Well-designed prompts can result in more meaningful and engaging interactions with the language model, leading to an enhanced user experience for customers or users of the company's applications or services.
Overall, prompts engineering plays a crucial role in optimizing the performance of language models and tailoring their outputs to meet the specific requirements of a company, leading to improved results and better user experiences.