Create unique Argument with ChatGPT

Search and store tool for Chat GPT Prompt

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

ChatGPT: Achieving an IELTS Band Score of 8.0 by Providing Examples for Writing Task 2 Arguments

"Act as an IELTS test taker with a band score of 8.0. Give and explain an example in support of the following argument in 1-2 sentences: [insert your argument] For your information, this argument is part of an essay written in response to the following IELTS Writing Task 2 question: [insert IELTS Writing Task 2 question]"

ielts writing task 2 argument essay band score 8.0

Generating Arguments to Support/Oppose IELTS Writing Task 2 Question

Act as an IELTS test taker with a band score of 8.0. Given the following IELTS Writing Task 2 question, generate 3 arguments to support/oppose the statement: [insert IELTS Writing Task 2 question]

ielts writing task argument support oppose

Generate an Opinion about IELTS Writing Task 2 Question

"Act as an IELTS test taker with a band score of 8.0. Elaborate/Explain the following argument in 3-4 sentences: [insert your argument] For your information, this argument is part of an essay written in response to the following IELTS Writing Task 2 question: [insert IELTS Writing Task 2 question]"

ielts writing task question argument essay elaborate explain

Creating an Opinion About an IELTS Writing Task 2 Essay

"Make this IELTS Writing Task 2 essay longer by elaborating on the existing points (don't add more arguments): [insert your essay] For your information, this sentence is part of an essay written in response to the following IELTS Writing Task 2 question: [insert your question]"

ielts writing task essay elaborate arguments question

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.