Create unique n/a with ChatGPT

Search and store tool for Chat GPT Prompt

Create unique and engaging n/a with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.

Ask AI to rewrite content (human or AI generated) in a specific way to create further variations

Rewrite this to be more concise and compelling: The word expository contains the word expose, so the reason expository is an apt descriptor for this type of writing is that it exposes, or sets forth, facts. It is probably the most common writing genre you will come across throughout your day. In an expository piece, a topic will be introduced and laid out in a logical order without reference to th...

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Add a tone/voice input and output example to your prompt to show the model what you'd like your response to sound like

Feeling the burn in my legs and the wind in my hair! Biking not only gives me a great workout, but it's also good for the environment and my mental health. #biking #exercise #healthyliving Analyze the above text for style, voice, and tone. Write a new caption about the benefits of drinking matcha using the same style, voice, and tone.

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How do I use the Google Sheets statistical functions to analyze data?

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Ask AI to restructure text data in a specific way

Rewrite the following open and closing times of popular restaurants into a consistent format: Schedule: M-F 8am-9pm, Sat 10am-midnight, S noon-6pm Output: M: 8:00 AM - 9:00 PM T: 8:00 AM - 9:00 PM W: 8:00 AM - 9:00 PM Th: 8:00 AM - 9:00 PM F: 8:00 AM - 9:00 PM Sat: 10:00 AM - 12:00 AM Sun: 12:00 PM - 6:00 PM Schedule: M-Th 7am-noon, F 10am-5pm, Sat & Sun 9am-4pm Output:

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What is “prompt engineering”?

A “prompt” is the input that guides a generative AI model to generate useful outputs. Generative AI tools like ChatGPT, GPT, DALL·E 2, Stable Diffusion, Midjourney, etc. all require prompting as their input.

In a natural language processing (NLP) context, “prompt engineering” is the process of discovering inputs that yield desirable or useful results. As is the story with any processes, better inputs yield better outputs; or commonly said another way “garbage in, garbage out.”

![Source: https://www.youtube.com/watch?v=1NQWJjgi-_k

Designing effective and efficient prompts will increase the likelihood of receiving a response that is both favorable and contextual. With a good prompt, you can spend less time editing content and more time generating it.

Going from beginner → advanced prompt engineer

As companies like PromptBase arise around the idea that the prompt is the “secret sauce” to using generative AI, prompt engineering could easily become the “career of the future.” But, any generative AI user can become an “advanced” prompt engineer. Here’s how

Spend time with the tools

The more time you spend asking ChatGPT questions and receiving responses, the better your idea will be of various prompting approaches and their individual strengths and weaknesses
Use Open AI’s GPT playground to perform interactive trial and error with variations in your prompt, model, temperature and top_p values (uniqueness of answer, i.e. creativity), and more available within the UI itself.

Become a prompt researcher instead of engineer

If you’re already a subject matter expert in something, consider figuring out how to apply your personal skills to generating the best prompts in your field
For example, if you’re an expert in SEO, what questions do you ask yourself when creating SEO strategies? How can you translate this knowledge into better prompts to generate the same level of output with AI?

Become a prompt researcher instead of engineer

The term prompt engineer glosses over the idea that prompt formulation takes hypothesizing, research, result measurement, and repetition. Instead, approach prompting like a research project.
Try as many different variations and formulations of your prompt as possible. One problem can have hundreds of solutions and one solution can have hundreds of approaches. The same can be said of prompting.