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6 Proven ChatGPT Prompts: Review project requirements
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7 Innovative ChatGPT Prompts: Follow up on partnership inquiry
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7 Advanced ChatGPT Prompts: Provide team with KPIs
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6 Expert ChatGPT Prompts: Schedule team building activity
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6 Advanced ChatGPT Prompts: Review team progress report
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7 Innovative ChatGPT Prompts: Respond to team inquiry
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6 Advanced ChatGPT Prompts: Analyze cost per acquisition data
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7 Advanced ChatGPT Prompts: Confirm project requirements
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7 Innovative ChatGPT Prompts: Respond to support ticket
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6 Innovative ChatGPT Prompts: Gather client testimonials
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6 Innovative ChatGPT Prompts: Generating safety guidelines
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6 Expert ChatGPT Prompts: Generating chatbot responses for warranty inquiries
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6 Strategic ChatGPT Prompts: Generating chatbot responses for technical inquiries
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194 Proven ChatGPT Prompts: Email Marketing Prompts : Strategies, Optimization, and Best Practices
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79 Strategic ChatGPT Prompts: Link Building: Basics
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6 Innovative ChatGPT Prompts: Providing leadership coaching
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6 Proven ChatGPT Prompts: Developing team-building activities
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6 Proven ChatGPT Prompts: Identifying recruitment channels
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6 Expert ChatGPT Prompts: Writing product requirements
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6 Proven ChatGPT Prompts: Handling media 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.