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Create unique and engaging Natural Language Processing with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.

6 Advanced ChatGPT Prompts: Creating training materials

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6 Advanced ChatGPT Prompts: Writing leadership development plans

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6 Strategic ChatGPT Prompts: Developing mobile HR applications

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6 Innovative ChatGPT Prompts: Developing HR chatbot solutions

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6 Strategic ChatGPT Prompts: Developing HR technology strategies

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7 Advanced ChatGPT Prompts: Conducting HIPAA compliance audits

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7 Strategic ChatGPT Prompts: Writing workplace bullying policies

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6 Innovative ChatGPT Prompts: Conducting performance gap analyses

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6 Innovative ChatGPT Prompts: Creating employee recognition events

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6 Proven ChatGPT Prompts: Creating performance appraisal forms

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7 Strategic ChatGPT Prompts: Writing talent review reports

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6 Innovative ChatGPT Prompts: Analyzing market pay trends

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6 Proven ChatGPT Prompts: Creating mental health resources

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6 Innovative ChatGPT Prompts: Writing compensation philosophy statements

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6 Expert ChatGPT Prompts: Developing short-term incentive plans

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6 Advanced ChatGPT Prompts: Writing employee satisfaction surveys

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6 Innovative ChatGPT Prompts: Implementing campus recruiting programs

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6 Innovative ChatGPT Prompts: Implementing employee referral program

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5 Expert ChatGPT Prompts: Screening resumes for qualifications

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6 Advanced ChatGPT Prompts: Conducting phone screenings

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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.”

![Source: https://www.youtube.com/watch?v=1NQWJjgi-_k

Designing effective and efficient prompts will increase the likelihood of receiving a response that is both favorable and contextual. With a good prompt, you can spend less time editing content and more time generating it.

Going from beginner → advanced prompt engineer

As companies like PromptBase arise around the idea that the prompt is the “secret sauce” to using generative AI, prompt engineering could easily become the “career of the future.” But, any generative AI user can become an “advanced” prompt engineer. Here’s how

Spend time with the tools

The more time you spend asking ChatGPT questions and receiving responses, the better your idea will be of various prompting approaches and their individual strengths and weaknesses
Use Open AI’s GPT playground to perform interactive trial and error with variations in your prompt, model, temperature and top_p values (uniqueness of answer, i.e. creativity), and more available within the UI itself.

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.