Create unique AR with ChatGPT
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Create unique and engaging AR with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
6 Expert ChatGPT Prompts: Creating HR communication plans
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6 Proven ChatGPT Prompts: Developing diversity and inclusion strategies
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6 Proven ChatGPT Prompts: Writing job sharing policies
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6 Strategic ChatGPT Prompts: Developing blended learning strategies
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6 Strategic ChatGPT Prompts: Developing microlearning modules
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6 Innovative ChatGPT Prompts: Developing learning objectives
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6 Expert ChatGPT Prompts: Designing e-learning courses
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6 Strategic ChatGPT Prompts: Writing learning transfer plans
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6 Innovative ChatGPT Prompts: Creating HR data warehousing solutions
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6 Proven ChatGPT Prompts: Developing HR social media strategies
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6 Advanced ChatGPT Prompts: Creating HR technology ROI reports
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6 Proven ChatGPT Prompts: Developing ADA compliance strategies
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6 Proven ChatGPT Prompts: Creating harassment prevention policies
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6 Strategic ChatGPT Prompts: Writing employee privacy policies
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7 Innovative ChatGPT Prompts: Creating performance improvement dashboards
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6 Expert ChatGPT Prompts: Developing onboarding training for managers
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6 Strategic ChatGPT Prompts: Designing employee awards programs
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6 Proven ChatGPT Prompts: Developing goal-setting software
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6 Proven ChatGPT Prompts: Developing employee engagement strategies
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7 Proven ChatGPT Prompts: Writing career development 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.”
![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.