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6 Strategic ChatGPT Prompts: Conducting basic market research
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6 Proven ChatGPT Prompts: Generating customer personas
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9 Advanced ChatGPT Prompts: Analyze competition
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7 Proven ChatGPT Prompts: Analyze learning styles
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6 Advanced ChatGPT Prompts: Analyze email campaign metrics
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6 Advanced ChatGPT Prompts: Conducting industry research
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6 Advanced ChatGPT Prompts: Creating competitive market analyses
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6 Innovative ChatGPT Prompts: Creating market sizing reports
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7 Advanced ChatGPT Prompts: Generating weekly email reports for insights
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6 Strategic ChatGPT Prompts: Developing workforce supply and demand models
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6 Advanced ChatGPT Prompts: Managing intellectual property
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7 Proven ChatGPT Prompts: Analyze financial data
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6 Expert ChatGPT Prompts: Conducting financial analysis
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6 Advanced ChatGPT Prompts: Analyzing financial performance
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6 Strategic ChatGPT Prompts: Creating basic sales reports
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6 Advanced ChatGPT Prompts: Managing team productivity and performance
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6 Advanced ChatGPT Prompts: Managing leadership assessment centres
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6 Strategic ChatGPT Prompts: Managing leadership shadowing initiatives
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6 Proven ChatGPT Prompts: Managing HR data integration projects
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6 Advanced ChatGPT Prompts: Developing performance metrics
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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.