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Create unique and engaging GPT with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
6 Advanced ChatGPT Prompts: Handling email complaints with empathy
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6 Advanced ChatGPT Prompts: Creating email logs for tracking purposes
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6 Advanced ChatGPT Prompts: Handling email inquiries and questions
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7 Advanced ChatGPT Prompts: Handling product recalls and warranty issues
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7 Strategic ChatGPT Prompts: Creating scripts for common issues
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6 Expert ChatGPT Prompts: Generating quick response emails
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6 Strategic ChatGPT Prompts: Moderating inappropriate email messages
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6 Strategic ChatGPT Prompts: Offering account management support
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6 Advanced ChatGPT Prompts: Offering guidance for online security issues
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6 Strategic ChatGPT Prompts: Offering technical support and solutions
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6 Expert ChatGPT Prompts: Providing customized product advice
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7 Innovative ChatGPT Prompts: Providing email training and guidelines
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6 Strategic ChatGPT Prompts: Responding to lost password emails
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6 Strategic ChatGPT Prompts: Troubleshooting product issues
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7 Strategic ChatGPT Prompts: Building customer trust and loyalty through chat support
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6 Innovative ChatGPT Prompts: Increasing chat engagement and satisfaction
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7 Proven ChatGPT Prompts: Creating chat workflows for faster resolution
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6 Expert ChatGPT Prompts: Generating customized chat responses
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7 Advanced ChatGPT Prompts: Managing chat presence across channels
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7 Proven ChatGPT Prompts: Managing chatbot and virtual assistant performance
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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.