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6 Expert ChatGPT Prompts: Managing executive coaching
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6 Advanced ChatGPT Prompts: Creating leadership development programs
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6 Expert ChatGPT Prompts: Developing leadership competencies
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6 Strategic ChatGPT Prompts: Managing leadership shadowing initiatives
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6 Expert ChatGPT Prompts: Writing leadership coaching manuals
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6 Advanced ChatGPT Prompts: Writing leadership communication strategies
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6 Innovative ChatGPT Prompts: Writing leadership development proposals
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6 Innovative ChatGPT Prompts: Writing leadership succession plans
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5 Innovative ChatGPT Prompts: Developing workforce cost optimization strategies
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6 Expert ChatGPT Prompts: Developing workforce diversity strategies
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6 Strategic ChatGPT Prompts: Developing workforce planning strategies
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6 Strategic ChatGPT Prompts: Developing workforce supply and demand models
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6 Expert ChatGPT Prompts: Managing gig economy talent sourcing
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6 Advanced ChatGPT Prompts: Managing headcount planning
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6 Proven ChatGPT Prompts: Conducting workforce benchmarking studies
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6 Proven ChatGPT Prompts: Creating workforce risk management plans
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5 Proven ChatGPT Prompts: Conducting employee value proposition research
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6 Proven ChatGPT Prompts: Creating workforce segmentation plans
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6 Advanced ChatGPT Prompts: Developing global workforce planning strategies
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6 Advanced ChatGPT Prompts: Conducting skills gap analyses
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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.