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6 Proven ChatGPT Prompts: Developing retirement benefits programs

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6 Innovative ChatGPT Prompts: Designing paid time off policies

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7 Expert ChatGPT Prompts: Conduct customer research

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7 Advanced ChatGPT Prompts: Set payment terms

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Enhancing Prompt Generation for ChatGPT: A New AI Approach

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Improving Prompt Engineering for ChatGPT: The Role of AI in Professional Prompt Design

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9 Strategic ChatGPT Prompts: Visualizing Internal Linking with ChatGPT

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Enhancing ChatGPT Prompts: Rise of the AI Prompt Engineer

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6 Advanced ChatGPT Prompts: Handling innovation risk assessment

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6 Innovative ChatGPT Prompts: Creating production schedules

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6 Strategic ChatGPT Prompts: Negotiating contracts

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6 Innovative ChatGPT Prompts: Crafting client education content

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6 Advanced ChatGPT Prompts: Crafting market opportunity maps

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7 Innovative ChatGPT Prompts: Developing project risk assessments

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6 Advanced ChatGPT Prompts: Write website page speed optimization

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6 Strategic ChatGPT Prompts: Creating Effective Bullet Points

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7 Strategic ChatGPT Prompts: Proofreading medical documents for accuracy

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7 Innovative ChatGPT Prompts: Generating medical reports for patients

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7 Expert ChatGPT Prompts: Compiling patient information for insurance claims

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6 Advanced ChatGPT Prompts: Creating appointment reminders

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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.”


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.