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6 Strategic ChatGPT Prompts: Writing HR cybersecurity policies

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7 Proven ChatGPT Prompts: Managing FMLA compliance

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6 Strategic ChatGPT Prompts: Creating background check policies

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6 Expert ChatGPT Prompts: Managing leaves of absence

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leave policy compliance legal requirements

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 Innovative ChatGPT Prompts: Implementing campus recruiting programs

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6 Proven ChatGPT Prompts: Managing applicant tracking system (ATS)

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6 Advanced ChatGPT Prompts: Managing candidate experience surveys

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6 Strategic ChatGPT Prompts: Developing career development plans

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6 Proven ChatGPT Prompts: Creating social media recruiting campaigns

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6 Expert ChatGPT Prompts: Writing job descriptions

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6 Proven ChatGPT Prompts: Generating chatbot responses for shipping inquiries

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6 Expert ChatGPT Prompts: Generating virtual assistant responses for account inquiries

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6 Strategic ChatGPT Prompts: Generating virtual assistant responses for investment inquiries

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6 Advanced ChatGPT Prompts: Handling chatbot inquiries for product recommendations

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7 Expert ChatGPT Prompts: Handling customer inquiries

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6 Advanced ChatGPT Prompts: Offering guidance for online security issues

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7 Advanced ChatGPT Prompts: Moderating inappropriate chat messages

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6 Proven ChatGPT Prompts: Review project requirements

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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.