Create unique audit with ChatGPT

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

6 Proven ChatGPT Prompts: Auditing financial statements

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financial auditing artificial intelligence natural language processing

5 Expert ChatGPT Prompts: Conducting time audits

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7 Proven ChatGPT Prompts: Writing HR audit reports

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chatgpt hr audit writing

7 Innovative ChatGPT Prompts: Conducting OFCCP audit preparations

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chatgpt ofccp audit compliance

7 Proven ChatGPT Prompts: Conducting global HR compliance audits

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chatgpt hr compliance global audits

9 Advanced ChatGPT Prompts: Conduct brand audit

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chatgpt brand audits tips

75 Innovative ChatGPT Prompts: SEO Auditing

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seo audit website performance metrics

89 Advanced ChatGPT Prompts: Optimizing Websites with SEO

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6 Strategic ChatGPT Prompts: Conducting content audits

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content audit online presence optimization

6 Advanced ChatGPT Prompts: Generating sales technology audits

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chatgpt sales technology audits

6 Advanced ChatGPT Prompts: Conducting sales process audits

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chatgpt sales process audits natural language generation

How To Use Audit Log Feature To Track Changes Made To A Sheet?

How do I use the Audit log feature to track changes made to a sheet?

audit log feature track changes sheet

Creating a List of Five Chat GPT Auditing-Related Features

Create a list of five Chat GPT auditing-related features.

chat gpt auditing features list five

Comprehensive SEO Audit and Improvement Recommendations for Your Website or Page

Can you perform a comprehensive SEO audit of my [website/page] and provide recommendations for how I can improve its ranking on search engines?

seo audit search engine ranking website optimization

What is the Purpose of an Audit and How Does it Differ from a Review or Compilation?

What is the purpose of an audit and how does it differ from a review or compilation?

audit review compilation purpose difference

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.