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Create unique and engaging Tech with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
6 Expert ChatGPT Prompts: Developing recruitment forecasting models
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6 Strategic ChatGPT Prompts: Creating workforce modeling scenarios
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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 Advanced ChatGPT Prompts: Managing HR data privacy and security
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6 Advanced ChatGPT Prompts: Developing HR data standardization procedures
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6 Advanced ChatGPT Prompts: Creating HR data reporting standards
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6 Expert ChatGPT Prompts: Creating diversity and inclusion scorecards
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6 Proven ChatGPT Prompts: Analyzing employee turnover data
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6 Proven ChatGPT Prompts: Developing predictive analytics models
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6 Advanced ChatGPT Prompts: Conducting diversity and inclusion training
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6 Advanced ChatGPT Prompts: Developing conflict resolution strategies
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6 Proven ChatGPT Prompts: Writing job sharing policies
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6 Strategic ChatGPT Prompts: Developing digital badges and credentials
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6 Expert ChatGPT Prompts: Developing mentorship programs
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6 Proven ChatGPT Prompts: Creating virtual reality training simulations
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6 Strategic ChatGPT Prompts: Developing microlearning modules
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6 Innovative ChatGPT Prompts: Conducting needs assessments
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6 Proven ChatGPT Prompts: Developing coaching plans
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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.