Create unique complaint with ChatGPT

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Create unique and engaging complaint with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.

6 Expert ChatGPT Prompts: Managing customer complaints

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customer service chatgpt complaint management

6 Advanced ChatGPT Prompts: Handling email complaints with empathy

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chatgpt email complaint empathy

7 Proven ChatGPT Prompts: Handling escalated customer issues and complaints over the phone

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chatgpt customer service complaints

7 Advanced ChatGPT Prompts: Address client complaint

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chatgpt client complaints tips

6 Proven ChatGPT Prompts: Handling customer complaints

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chatgpt customer complaints personalized responses

6 Innovative ChatGPT Prompts: Creating customer complaint response scripts

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customer complaints script generation chatgpt

Reducing Spam Complaint Rate of Emails

How can I reduce the spam complaint rate of my emails?

email spam complaint reduce

What is a good spam complaint rate for email marketing?

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Measuring Email Spam Complaint Rate

How do I measure the spam complaint rate of my emails?

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Write a Formal Complaint Email to United Airlines about Delayed Baggage from Flight on Tuesday, January 17th, from New York to Los Angeles

Write a formal complaint email to United Airlines about my delayed baggage from my flight on Tuesday, January 17th, from New York to Los Angeles.

united airlines complaint email delayed baggage flight tuesday january 17th new york los angeles

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.