Create unique testing with ChatGPT

Search and store tool for Chat GPT Prompt

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

Optimizing Email Delivery and Engagement with A/B Testing and Edge Computing/5G Technology

How can I use A/B testing to optimize my email's use of edge computing and 5G technology for faster delivery and better engagement?

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Optimizing Email Voice and Chatbot Technology with A/B Testing

How can I use A/B testing to optimize my email's use of voice and chatbot technology?

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Using A/B Testing to Optimize Email Analytics and Tracking Pixels

How can I use A/B testing to optimize my email's use of analytics and tracking pixels for better data collection?

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A/B Testing to Optimize Email Personalization Tokens and Merge Tags

How can I use A/B testing to optimize my email's use of personalization tokens and merge tags for better relevance?

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Optimizing Email Mobile Responsiveness Using A/B Testing

How can I use A/B testing to optimize my email's mobile responsiveness for better engagement on mobile devices?

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Using A/B Testing to Test Different Email Authentication Methods for Improved Deliverability

How can I use A/B testing to test different email authentication methods such as SPF, DKIM, and DMARC to improve deliverability?

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Optimizing Email HTML and CSS for Better Renderability with A/B Testing

How can I use A/B testing to optimize my email's HTML and CSS for better renderability across different email clients?

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Using A/B Testing to Improve Design

How can I use A/B testing to improve the design

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Using A/B Testing to Improve Email Call-to-Action (CTA) Buttons

How can I use A/B testing to improve my email call-to-action (CTA) buttons?

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Avoiding Common Mistakes in Email A/B Tests

What are some common mistakes to avoid when conducting email A/B tests?

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Using Multivariate Testing to Optimize Images and Graphics in Email Campaigns

How can I use multivariate testing to optimize the use of images and graphics in my email campaigns?

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Using A/B Testing to Determine the Best Email Images and Graphics for Campaigns

How can I use A/B testing to determine the best email images and graphics for my campaigns?

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Determine the Best Email Format for Your Campaigns with A/B Testing

How can I use A/B testing to determine the best email format (e.g. HTML, plain text) for my campaigns?

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Determining the Best Email Layout and Design Using A/B Testing

How can I use A/B testing to determine the best email layout and design?

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Using A/B Testing to Determine the Optimal Send Time for Emails

How can I use A/B testing to determine the best send time for my emails?

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Using A/B Testing to Optimize Email Campaigns

How can I use A/B testing to optimize my email campaigns for different segments?

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Incorporating Continuous Testing and Quality Assurance in [Language] Projects: A Helpful Guide

Share advice on how to incorporate continuous testing and quality assurance into the development process for a [language] project.

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Comparing Language Testing Frameworks and Choosing the Best One for Your Project

Compare different [language] testing frameworks and recommend one that best suits the given project: [project description].

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Strategies for Automating Regression Testing in [Language] Project

Suggest strategies for automating regression testing in the given [language] project: [project description].

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Designing a Comprehensive Testing Strategy for Web/Mobile App: Tips and Best Practices

Design a testing strategy for a [web/mobile] app that includes [unit, integration, system, and/or performance] testing.

testing web/mobile app unit testing

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.