Create unique list with ChatGPT
Search and store tool for Chat GPT Prompt
Create unique and engaging list with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
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Baby Triceratops Birthday Party Commotion
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Adorable Baby Blue Lion with Crown
tiny adorable baby blue lion, realistic, wear blue crown, right front foot stepping on a red ball, white background, full body, intricate details, unreal engine, studio lighting, ultra hdr, 16k, cute baby face expression chibi, Perfect lighting, Sharp focus, intricate detailed, hyper realistic, 8k --v 4
Aztec Ouroboros in Hyperdetail
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Aesthetic Logo Design Featuring MIRD
minimalistic logo design for worldwide company with the word "MIRD" with the background of the colorful green and blue globe and orange, white background, high quality, 8k
Stunning Spider-Girl in New York City Rain
Beautiful hot Spider-Girl 25 years old white skin , full body, attractive legs, blonde hair , red and white custome , new york rainy background, 3d , 16k resolution, HDR, VFX, Cinematic lights, ultra, realistic Cinematic photography, 8k details, FKAA, TXAA, --q 5
Chinatown's Anime-Style Beauty - Stephy
Stephy, 5'6" tall, slim, black hair, beautiful eyes, super detailed on face, Chinatown background, Japanese anime style, cinematic lighting, ultra realistic, f1.4 depth of field --ar 4:5
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.