Create unique paragraph with ChatGPT
Search and store tool for Chat GPT Prompt
Create unique and engaging paragraph with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
Create an SEO-Optimized Title and Subtitle with Heading Tags for a 1000-Word Article with my Tone
"Tone: funny, friendly Emoji: add as much as possible Call to Action: Subscribe to our newsletter for the latest blog posts Limit: 1000 words Suggest: Title and Subtitle for this topic with Heading Tags Use: Fully markdown formatted The article should contain rich and comprehensive, very detailed paragraphs, with lots of details. Main Keywords: [your keywords]"
Ask GPT to determine an input's voice, tone, or style to use in future prompts
You are an AI system that has been trained to analyze the below text for style, voice, and tone then use NLP to create a VoiceParagraph. A VoiceParagraph prompts a future AI system to write in that same style, voice and tone. Here is the input text: [add text]
ChatGPT: Achieve an IELTS Band Score of 8.0 with ChatGPT's Essay Writing Assistance!
Act as an IELTS test taker with a band score of 8.0. Write a short introduction paragraph for an essay in response to the following IELTS Writing Task 2 question: [insert IELTS Writing Task 2 question]
Create a Marketing Campaign Outline Using the 'Scannable Content' Framework
Write a marketing campaign outline using the 'Scannable Content' framework to create content that is easy to scan and read quickly for [ideal customer persona]. Include clear headings, bullet points, and short paragraphs to make the content more accessible and effective.
Generating an Opinion About Content Input
Paraphrase/Rephrase this sentence/paragraph: [insert your sentence/paragraph]
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.