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

6 Strategic ChatGPT Prompts: Resolving payment problems
 6 Strategic ChatGPT Prompts: Resolving payment problems
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6 Strategic ChatGPT Prompts: Troubleshooting technical issues
 6 Strategic ChatGPT Prompts: Troubleshooting technical issues
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7 Advanced ChatGPT Prompts: Handling product recalls and warranty issues
 7 Advanced ChatGPT Prompts: Handling product recalls and warranty issues
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7 Expert ChatGPT Prompts: Resolving customer issues efficiently
 7 Expert ChatGPT Prompts: Resolving customer issues efficiently
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6 Strategic ChatGPT Prompts: Handling order payment issues
 6 Strategic ChatGPT Prompts: Handling order payment issues
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6 Advanced ChatGPT Prompts: Resolving order issues
 6 Advanced ChatGPT Prompts: Resolving order issues
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6 Advanced ChatGPT Prompts: Developing issue management plans
 6 Advanced ChatGPT Prompts: Developing issue management plans
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Post Showcasing Benefits of Using [Product Name] for [Specific Problem/Issue]

Make a post showcasing the benefits of using our product [product name] for [specific problem/issue].

Write a Letter of Support for Access to Transportation Services for a Senior Patient with Mobility Issues

Write a letter of support for access to transportation services for my senior patient with mobility issues.

Applying Design Patterns in Code: Solving Specific Issues with [Language]

Explain how the [design pattern] can be applied in the given [language] code to address [specific issue or challenge]: [code snippet].

How to Avoid Mobile-Specific Email Client Rendering and Display Issues

How can I avoid using designs that do not take into account the mobile-specific email client rendering and display?

Using Email Deliverability Testing to Identify and Resolve Deliverability Issues

How can I use email deliverability testing to identify and resolve deliverability issues?

Generating Open Issues or Feature Requests Opinion for a Language Specific Open-Source Project

Suggest open issues or feature requests in the following [language] open-source project that match my skill set: [repository URL or project description].

Establishing Communication Channels for Technical Issues

Help establish a communication channel between [team member 1] and [team member 2] to discuss and resolve [technical issue or question].

Workaround for Critical Issue: [Issue Description]

Propose a workaround or temporary fix for the following critical issue while a permanent solution is being developed: [issue description].

Impact of Issue Description on Project Timeline and Required Effort Estimate

Estimate the effort required to resolve the following issue and its impact on the project timeline: [issue description].

Identifying and Preventing Recurrence of Issues: Tips and Techniques for Root Cause Analysis

Identify the root cause of the given issue and propose steps to prevent its recurrence: [issue description].

Generating Potential Solutions for Reported Issues: Tips & Techniques

Suggest potential solutions for the following reported issue: [issue description].

Automatically Categorizing and Prioritizing Reported Issues: Efficient Management of Resources

Automatically categorize and prioritize the following list of reported issues: [issue list].

How to Check for Race Conditions and Concurrency Issues in [Language] Code: A Guide

Check for any race conditions or concurrency issues in the given [language] code: [code snippet].

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.


What is prompt engineering

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.


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.
play background gpt3

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.