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Create unique and engaging back with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
6 Expert ChatGPT Prompts: Writing performance reviews
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6 Advanced ChatGPT Prompts: Creating win-back campaigns
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7 Innovative ChatGPT Prompts: Writing tenant performance reviews
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5 Innovative ChatGPT Prompts: Create website backlinks
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7 Expert ChatGPT Prompts: Feedback on projects
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7 Strategic ChatGPT Prompts: Provide feedback on style
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5 Advanced ChatGPT Prompts: Provide educational feedback
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7 Strategic ChatGPT Prompts: Generating incentive program customer feedback loops
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6 Proven ChatGPT Prompts: Creating social media listening dashboards
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6 Expert ChatGPT Prompts: Creating re-engagement surveys for win-backs
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6 Advanced ChatGPT Prompts: Crafting multi-step win-back campaigns
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11 Strategic ChatGPT Prompts: Your Free Sales Advisor
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6 Proven ChatGPT Prompts: Creating win-back email campaigns
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6 Strategic ChatGPT Prompts: Creating customer feedback data visualization dashboards
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6 Proven ChatGPT Prompts: Developing customer feedback data integration systems
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6 Innovative ChatGPT Prompts: Creating customer feedback forums
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6 Proven ChatGPT Prompts: Crafting customer feedback incentives
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6 Proven ChatGPT Prompts: Developing personalized customer feedback action plans
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6 Advanced ChatGPT Prompts: Writing data-driven customer feedback response templates
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6 Strategic ChatGPT Prompts: Creating customer feedback segmentation strategies
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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.