Create unique Opera with ChatGPT

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

6 Expert ChatGPT Prompts: Creating API documentation

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7 Proven ChatGPT Prompts: Creating operational procedures

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6 Strategic ChatGPT Prompts: Creating standard operating procedures (SOPs)

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Using Blockchain Technology to Improve Business Operations and Increase Security

How can we use blockchain technology to improve business operations and increase security?

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Writing an Excel Command to Use the MOD Function to Find the Remainder of a Division Operation

Write me an excel command to use the MOD function to find the remainder of a division operation

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How to Use the MOD Function to Find the Remainder of a Division Operation

How to use the MOD function to find the remainder of a division operation

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Avoiding Designs Not Tested on Different Mobile Devices and Operating Systems

How can I avoid using designs that are not tested on different mobile devices and operating systems?

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Identifying Challenges and Solutions for Interoperability among Different Technologies

Identify potential challenges and solutions for interoperability between the following systems or technologies: [system or technology list].

interoperability challenges solutions

Designing an API for Efficient [Type of Application/Service]: Supporting Essential Operations - ChatGPT

Design an API for a [type of application or service] that supports the following operations: [list of operations].

api design operations

How to Use Mobile-Specific A/B Testing to Optimize Emails for Different Mobile Devices and Operating Systems

How can I use mobile-specific A/B testing to optimize my emails for different mobile devices and operating systems?

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Develop a Song Comparing a Textile Machine Operator and a Luddite Handweaver

Develop a song. A textile machine operator and a luddite handweaver should compete. It should contain rhymed, witty jokes. Include the appropriate piano chords.

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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.