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6 Strategic ChatGPT Prompts: Creating workforce analytics reports
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6 Expert ChatGPT Prompts: Developing recruitment forecasting models
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6 Strategic ChatGPT Prompts: Creating workforce modeling scenarios
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7 Strategic ChatGPT Prompts: Conducting talent assessments
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6 Strategic ChatGPT Prompts: Creating workforce plans
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7 Strategic ChatGPT Prompts: Writing contingent workforce policies
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7 Innovative ChatGPT Prompts: Writing job family classifications
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6 Advanced ChatGPT Prompts: Writing workforce analyses
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6 Strategic ChatGPT Prompts: Writing workforce compliance policies
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6 Expert ChatGPT Prompts: Writing workforce development plans
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6 Expert ChatGPT Prompts: Developing HR analytics strategies
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6 Strategic ChatGPT Prompts: Creating predictive staffing models
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6 Innovative ChatGPT Prompts: Developing workforce planning models
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6 Advanced ChatGPT Prompts: Developing workforce segmentation strategies
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6 Advanced ChatGPT Prompts: Managing HR data privacy and security
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6 Advanced ChatGPT Prompts: Creating HR data reporting standards
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6 Strategic ChatGPT Prompts: Designing HR data visualization templates
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6 Expert ChatGPT Prompts: Developing HR data governance strategies
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6 Expert ChatGPT Prompts: Conducting HR data quality audits
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6 Expert ChatGPT Prompts: Creating diversity and inclusion scorecards
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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.