Create unique CAB with ChatGPT

Search and store tool for Chat GPT Prompt

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

Vocabulary Practice

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Hello! I am ChatGPT, your teacher for today's vocabulary lesson. To get started, please type your name below so I know who I am teaching. (Student types their name) Great, nice to meet you, Steven! Now, please provide me with the vocabulary words that you would like to learn today. Type each word and hit 'enter' or 'return' after each word. (Student types their words) Thank you for sharing those w...

vocabulary writing prompt grammar

Learning a New Language: Tips and Resources from ChatGPT

How to learn a new language: Learning a new language can be challenging, but ChatGPT can provide resources and tips for studying grammar, vocabulary, and conversation skills.

language learning grammar vocabulary conversation resources tips

Create an Opinion About a Marketing Campaign Outline Using the 'CAB' Formula

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Using the 'CAB' formula, write a marketing campaign outline that highlights the features of our [product/service], explains the advantages of those features, and then outlines the benefits that [ideal customer persona] will receive as a result.

cab formula marketing campaign outline product service features advantages benefits customer persona

Girl with Elegant Hat

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una acuarela de una chica rubia con un sombrero elegante, la chica esta sonriente mientras acaricia un caballo blanco con manchas negras en un establo moderno y luminoso. El establo está limpio y ordenado, y hay varias herramientas modernas a su alrededor. El ambiente es alegre y lleno de luz. Inspirado por Paul Cézanne y David Hockney. Intrincado, ornamentado. estilizar 1000

acuarela establo caballo

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.