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Create unique and engaging techniques with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
7 Advanced ChatGPT Prompts: Conducting HR cloud migration projects
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6 Strategic ChatGPT Prompts: Developing mobile HR applications
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6 Expert ChatGPT Prompts: Creating HR self-service portals
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6 Expert ChatGPT Prompts: Creating HR technology selection criteria
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6 Expert ChatGPT Prompts: Developing HR technology vendor evaluations
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6 Strategic ChatGPT Prompts: Writing HR cybersecurity policies
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6 Innovative ChatGPT Prompts: Writing HR data analytics algorithms
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6 Expert ChatGPT Prompts: Writing HR technology RFPs
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7 Innovative ChatGPT Prompts: Conducting OFCCP audit preparations
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7 Advanced ChatGPT Prompts: Developing employment policies
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6 Innovative ChatGPT Prompts: Developing feedback and coaching programs
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6 Expert ChatGPT Prompts: Developing succession planning programs
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6 Expert ChatGPT Prompts: Creating equity compensation programs
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6 Proven ChatGPT Prompts: Developing retention strategies
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6 Innovative ChatGPT Prompts: Analyzing compensation data
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6 Proven ChatGPT Prompts: Creating interview questions
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6 Innovative ChatGPT Prompts: Designing chatbots for user feedback and survey support
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6 Strategic ChatGPT Prompts: Creating virtual assistants for appointment scheduling
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6 Expert ChatGPT Prompts: Generating chatbot responses for order tracking inquiries
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6 Expert ChatGPT Prompts: Generating virtual assistant responses for account inquiries
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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.