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21 ChatGPT Prompts: YouTube Ads

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6 Advanced ChatGPT Prompts: Developing employer branding strategy

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6 Expert ChatGPT Prompts: Monitoring brand mentions

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chatgpt brand monitoring social media

9 Advanced ChatGPT Prompts: Conduct brand audit

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chatgpt brand audits tips

6 Expert ChatGPT Prompts: Creating discount codes

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6 Expert ChatGPT Prompts: Developing brand identity

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6 Expert ChatGPT Prompts: Creating brand awareness campaigns

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5 Innovative ChatGPT Prompts: Design logo

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6 Proven ChatGPT Prompts: Develop brand voice

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chatgpt brand voice web developers

6 Innovative ChatGPT Prompts: Develop brand architecture

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chatgpt brand architecture web developers

6 Proven ChatGPT Prompts: Develop brand persona

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chatgpt brand persona web developers

6 Proven ChatGPT Prompts: Create brand positioning statement

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6 Innovative ChatGPT Prompts: Create brand awareness campaigns

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brand awareness marketing chatgpt

6 Proven ChatGPT Prompts: Create brand name

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6 Proven ChatGPT Prompts: Develop brand tone

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chatgpt brand tone web developers

6 Proven ChatGPT Prompts: Develop brand messaging

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brand messaging chatgpt web developers

6 Expert ChatGPT Prompts: Create brand style guide

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6 Innovative ChatGPT Prompts: Develop brand guidelines

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chatgpt brand guidelines web developers

7 Innovative ChatGPT Prompts: Generating customized partner co-branding strategies

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chatgpt partner co-branding marketing goals

7 Innovative ChatGPT Prompts: Crafting partnership branding guidelines

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chatgpt branding guidelines

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.