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9 Strategic ChatGPT Prompts: Visualizing Internal Linking with ChatGPT
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6 Advanced ChatGPT Prompts: Conducting competitive analysis
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6 Innovative ChatGPT Prompts: Conducting basic financial analysis
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6 Expert ChatGPT Prompts: Creating monthly marketing reports
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6 Advanced ChatGPT Prompts: Conducting skills gap analyses
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6 Expert ChatGPT Prompts: Developing recruitment forecasting models
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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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7 Strategic ChatGPT Prompts: Creating HR reports and dashboards
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7 Innovative ChatGPT Prompts: Creating performance improvement dashboards
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7 Innovative ChatGPT Prompts: Generating email analytics for trends analysis
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6 Advanced ChatGPT Prompts: Track project expenses
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9 Advanced ChatGPT Prompts: Analyze competition
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7 Strategic ChatGPT Prompts: Research industry trends
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5 Strategic ChatGPT Prompts: Conduct SWOT analysis
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7 Strategic ChatGPT Prompts: Research target audience
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6 Advanced ChatGPT Prompts: Analyze cost per acquisition data
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8 Expert ChatGPT Prompts: Analyze lead generation data
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6 Innovative ChatGPT Prompts: Monitor customer engagement data
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6 Expert ChatGPT Prompts: Review customer feedback data
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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.