Create unique Performance with ChatGPT

Search and store tool for Chat GPT Prompt

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

Setting Clear Performance Expectations and Goals

What are some ways to set clear performance expectations and goals?

Strategies for Managing Employee Performance Effectively

What are some strategies for managing employee performance effectively?

Creating an Opinion on How to Improve Student Performance in a Subject/Task

Generate a list of specific and actionable steps that a student can take to improve their performance in [subject/task]

Research the Best Analytics Tools for [TOPIC] Website Performance

Research the best analytics tools for [TOPIC] website performance

Evaluating Compatibility and Performance of [Language] Code with [Specific Technology or Platform]

Evaluate the compatibility and performance of the given [language] code when interacting with [specific technology or platform]: [code snippet].

Analyzing [Language] Code Performance in Different Environments and Hardware Configurations

Analyze the performance of the following [language] code in different environments or hardware configurations: [code snippet].

Techniques for Optimizing Code Performance in [Language]

Compare the performance of the given [language] code using different optimization techniques or libraries: [code snippet].

Identifying Performance Bottlenecks & Optimizations in [Language] Code

Identify performance bottlenecks in the given [language] code and suggest optimizations: [code snippet].

Design Pattern to Optimize [Language] Code Performance for [Specific Task]: [Code Snippet]

Suggest a design pattern to optimize the performance of the given [language] code handling [specific task or operation]: [code snippet].

Suggesting Alternative Design Patterns for [Language] Code - Enhance Code Performance and Offer Better Benefits

Suggest an alternative design pattern for the given [language] code that may provide additional benefits: [code snippet].

What Metrics Should I Track to Optimize the Performance of My Email Opt-in Incentives?

What metrics should I track to optimize the performance of my email opt-in incentives?

Optimizing Performance of Email A/B Tests: What Metrics Should I Focus On?

What metrics should I focus on to optimize the performance of my email A/B tests?

What Metrics Should I Track to Gauge the Performance of My Email Campaigns?

What metrics should I track to gauge the performance of my email campaigns?

How to Use Personalization to Improve Email Autoresponder Performance

What are the most effective ways to use personalization to improve the performance of my email autoresponders?

Using A/B Testing to Improve Email Campaign Performance on Mobile Devices

How can I use A/B testing to improve the performance of my email campaigns on mobile devices?

Using Mobile Optimization to Improve Email Campaign Performance

How can I use mobile optimization to improve the overall performance of my email campaigns?

How Can I Use Email Deliverability Benchmarks to Compare My Performance to Others in My Industry?

How can I use email deliverability benchmarks to compare my performance to others in my industry?

Using A/B Testing to Improve Email Template Performance

How can I use A/B testing to improve the performance of my email templates?

The Role of A/B Testing in Improving the Performance of Your Email Newsletter Campaigns

The role of A/B testing in improving the performance of your email newsletter campaigns.

Understanding the Benefits of A/B Testing for Email Win-Back Campaigns

The benefits of using A/B testing to improve the performance of your email win-back campaigns.

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.