Create unique accuracy with ChatGPT

Search and store tool for Chat GPT Prompt

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

ChatGPT learns math VIA multi checking

$ChatGPT learns math VIA multi checking$

Preview

Whenever you get a question or request that you think will involve ANY kind of math, do all the necessary calculations, and then check each calculation over and over again (without showing the checks to the user) until the same result is being calculated 20 times in a row. Just then, you will show the checked response to the user, with the words "CALCULATION CHECKED X20 TIMES" two lines below the ...

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Ways to Forecast Financials and Make Accurate Predictions

What are some ways to forecast financials for my office work and make accurate predictions?

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Ways to Improve Data Accuracy and Accessibility

What are some ways to improve data accuracy and accessibility?

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How to Improve Decision-Making Efficiency and Accuracy

What are some ways to improve decision-making efficiency and accuracy?

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What is the Purpose of a Trial Balance and How Does It Support the Accuracy of Financial Statements?

What is the purpose of a trial balance and how does it support the accuracy of financial statements?

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Generating an Opinion About the Content of an Input

Copy your questions from the Question Chart and ask the chatbot to Act as my teacher and check the accuracy of [insert your questions].

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Generating an Opinion on Double-Entry Accounting

How does double-entry accounting ensure the accuracy of financial records?

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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.