Create unique beauty with ChatGPT
Search and store tool for Chat GPT Prompt
Create unique and engaging beauty with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
6 Advanced ChatGPT Prompts: Recommend beauty products
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7 Strategic ChatGPT Prompts: Provide beauty advice
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7 Advanced ChatGPT Prompts: Recommend self-care techniques
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7 Strategic ChatGPT Prompts: Suggest healthy beauty habits
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7 Strategic ChatGPT Prompts: Analyze beauty and fashion goals
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Let's Create a Poem About Nature's Beauty
Write a poem about nature's beauty.
Beautiful Redhead Girl
beautiful redhead Girl, pale skin, glasses, greek attire Flawless skin show her full head, show her full face, show her half body, Big Chest, Dramatic Lighting, Minimalist, School Girl uniform, Cinematic, Photography, natural skin, delicate, detailed, photo realistic, beauty photography, 4k, sci fi --ar 16:9 --v 4 --upbeta --q 5
The Most Beautiful Sunsets Captured on Camera
The most beautiful sunsets captured on camera
Graceful Gem of the East
"Describe a beautiful Asian woman with black hair, almond-shaped eyes, and a slim figure." Output: She is a stunning Asian beauty with long, silky black hair that cascades down her back in loose waves. Her almond-shaped eyes are a deep, dark brown, and they sparkle with intelligence and warmth. Her complexion is smooth and flawless, with a hint of a golden glow that suggests she spends time in the...
Opinion on an image of a young happy model posing with a balenciaga jacket and electric scooter
young happy girl beauty model full body with balenciaga modern black jacket with an electric scooter behind on a pale green background shoot with Nikon D850 and a Nikon AF-s NIKKOR 70-200mm f/ 2.8E FL ED VR lens, lit with high-key lightning to create a soft and ethereal feel, a shallow depth of field
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.