Create unique dog with ChatGPT

Search and store tool for Chat GPT Prompt

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

If your desired output is too long, ask AI to generate pieces of it in multiple steps

Generate an outline for a blog post about training your dog to sit. —- Write the body for section I-A above:

dog training blog post sit command

Opinion on \

The funniest dog fails of all time!

dog fails funny humor animals entertainment

Ask AI to remove un-wanted parts from an input

Remove the hashtags in the following social media post: Summer days are the best when they include all the #doglove! Whether it's playing fetch in the park, going for a swim, or just lounging in the sun, #puppies make these hot days so much more fun. Get out there and #loveyourdog this season! #SummerFun #DogsInSummer #PupsInThePark #CutenessOverload #NationalDogDay

ai removal hashtags socialmedia summerdays doglove puppies summerfun dogsinsummer pupsinthepark cutenessoverload nationaldogday

Ask AI to act as a specific product to complete a task in a predetermined way

I want you to act as a dog name generator. I will type dog breeds separated by commas and you will reply with three dog name options for each breed I give. My first breeds are poodle, chocolate lab, and husky.

dog names

10 Commands to Generate Varied Content for a Dog Portrait Business

Brainstorm 10 commands I would submit to a large language model to have the model generate varied content for my dog portrait business

dog portraits

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.