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7 Strategic ChatGPT Prompts: Writing introduction emails
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6 Advanced ChatGPT Prompts: Responding to online inquiries
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6 Expert ChatGPT Prompts: Set up project management tools
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6 Strategic ChatGPT Prompts: Write project requirements
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7 Advanced ChatGPT Prompts: Create website disclaimers
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7 Expert ChatGPT Prompts: Create website style guide
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7 Strategic ChatGPT Prompts: Write product comparison guides
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6 Expert ChatGPT Prompts: Create brand style guide
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6 Innovative ChatGPT Prompts: Develop brand guidelines
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7 Innovative ChatGPT Prompts: Analyze strengths
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7 Innovative ChatGPT Prompts: Provide habit-building tips
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7 Strategic ChatGPT Prompts: Suggest sleep improvements
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7 Advanced ChatGPT Prompts: Suggest home workout equipment
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7 Strategic ChatGPT Prompts: Provide feedback on style
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7 Innovative ChatGPT Prompts: Suggest skill-building exercises
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7 Innovative ChatGPT Prompts: Crafting partnership branding guidelines
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8 Strategic ChatGPT Prompts: Crafting partnership agreement templates
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6 Expert ChatGPT Prompts: Creating email archiving policies
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6 Proven ChatGPT Prompts: Developing custom social media style guides
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6 Strategic ChatGPT Prompts: Generating brand voice guidelines
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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.