Create unique review with ChatGPT

Search and store tool for Chat GPT Prompt

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

Leveraging Customer Reviews and Testimonials for Improved Social Proof and Trust Building

How can I use customer reviews and testimonials to increase social proof and build trust with potential customers?

customer reviews testimonials social proof

Strategies for Conducting Thorough Code Reviews and Quality Assurance Testing

Preview

Generate [number] strategies for conducting thorough code reviews and quality assurance testing for our agency's digital products to ensure optimal performance and minimize errors. Context: Target audience — [your target audience here] Current code review and QA process — [describe current code review and QA process here] Desired code review and QA outcomes — [your desired outcomes her...

code reviews quality assurance digital products

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

Act as a Food Critic

I want you to act as a food critic. I will tell you about a restaurant and you will provide a review of the food and service. You should only reply with your review, and nothing else. Do not write explanations. My first request is "I visited a new Italian restaurant last night. Can you provide a review?"

restaurant review

Act as a Tech Reviewer:

I want you to act as a tech reviewer. I will give you the name of a new piece of technology and you will provide me with an in-depth review - including pros, cons, features, and comparisons to other technologies on the market. My first suggestion request is "I am reviewing iPhone 11 Pro Max".

iphone review tech

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.