Create unique Al with ChatGPT
Search and store tool for Chat GPT Prompt
Create unique and high-quality Al with ChatGPT, a state-of-the-art pre-trained language model powered by OpenAI that can generate accurate and engaging content about artificial intelligence and related topics.
5 Proven ChatGPT Prompts: Conducting employee value proposition research
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6 Advanced ChatGPT Prompts: Developing global workforce planning strategies
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6 Advanced ChatGPT Prompts: Conducting skills gap analyses
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6 Strategic ChatGPT Prompts: Creating workforce analytics reports
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6 Expert ChatGPT Prompts: Developing recruitment forecasting models
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6 Strategic ChatGPT Prompts: Creating workforce modeling scenarios
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7 Strategic ChatGPT Prompts: Conducting talent assessments
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6 Advanced ChatGPT Prompts: Writing workforce analyses
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6 Strategic ChatGPT Prompts: Writing workforce compliance policies
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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: Developing HR data standardization procedures
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6 Advanced ChatGPT Prompts: Creating HR data reporting standards
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6 Strategic ChatGPT Prompts: Designing HR data visualization templates
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6 Expert ChatGPT Prompts: Conducting HR data quality audits
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7 Strategic ChatGPT Prompts: Conducting talent acquisition ROI analysis
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6 Proven ChatGPT Prompts: Analyzing employee turnover data
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6 Innovative ChatGPT Prompts: Conducting employee surveys
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6 Proven ChatGPT Prompts: Developing predictive analytics models
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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.