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6 Innovative ChatGPT Prompts: Managing employee benefits
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6 Expert ChatGPT Prompts: Managing flexible spending accounts
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6 Innovative ChatGPT Prompts: Creating global mobility policies
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6 Strategic ChatGPT Prompts: Developing recognition and rewards programs
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6 Proven ChatGPT Prompts: Designing commuter benefits programs
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6 Proven ChatGPT Prompts: Developing retirement benefits programs
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6 Innovative ChatGPT Prompts: Writing compensation philosophy statements
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6 Innovative ChatGPT Prompts: Designing paid time off policies
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6 Expert ChatGPT Prompts: Creating equity compensation programs
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6 Expert ChatGPT Prompts: Developing short-term incentive plans
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6 Innovative ChatGPT Prompts: Conducting job evaluations
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6 Proven ChatGPT Prompts: Creating health and wellness programs
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6 Expert ChatGPT Prompts: Designing variable pay programs
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6 Expert ChatGPT Prompts: Creating total rewards statements
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6 Proven ChatGPT Prompts: Developing retention strategies
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6 Advanced ChatGPT Prompts: Creating salary survey reports
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6 Innovative ChatGPT Prompts: Analyzing compensation data
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6 Strategic ChatGPT Prompts: Developing bonus plans
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6 Innovative ChatGPT Prompts: Calculating pay rates
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6 Innovative ChatGPT Prompts: Writing employee engagement surveys
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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.