How to Write a Clear & Concise Abstract with Perplexity AI and Humanize It | not #chatgpt
Summary
TLDRMat's video tutorial showcases how to efficiently craft an abstract using AI, emphasizing the importance of credibility and reader engagement. He compares AI tools like Perplexity, Claude, and ChatGPT, highlighting Perplexity's precision for factual research-based abstracts. Mat demonstrates creating a structured outline, starter sentences, and a concise abstract, suggesting a word limit and key elements to include. He also touches on the use of Stealthwriter AI for humanizing the text and GPTZero for authenticity checks, concluding with a polished abstract ready for submission to research journals.
Takeaways
- 😀 Create an abstract that attracts and convinces readers of the paper's credibility.
- 🤖 Utilize AI tools like Perplexity, Claude, and ChatGPT for abstract creation, with Perplexity being the recommended choice for its factual and research-based approach.
- 📝 Include starter sentences in the abstract to set the tone and provide a foundation for the content.
- 📋 Use a structured outline in table format to organize the abstract's sections effectively.
- 🔍 Perplexity is an AI-powered search engine that provides precise and down-to-earth information for abstracts.
- 📖 The abstract should be concise, typically around 150-250 words, depending on the journal's requirements.
- 🔑 Include keywords in the abstract to enhance searchability and relevance in academic databases.
- 📈 Mention the main findings of the research succinctly, suggesting up to three key takeaways for clarity.
- 📝 The methods section of the abstract should be brief, indicating the scope without going into excessive detail.
- 🔗 The conclusion of the abstract should reflect the implications of the research findings for future studies.
- 👥 Consider using tools like Stealthwriter AI to humanize the AI-generated text and provide multiple suggestions for refinement.
Q & A
What is the main purpose of an abstract in a research paper according to the video?
-The main purpose of an abstract is to seduce the reader, making them feel that the paper is a credible source they want to read and cite.
Which AI tools did Mat mention in the video for creating an abstract?
-Mat mentioned Perplexity, Claude, and ChatGPT as the AI tools he used for creating an abstract.
Why does Mat recommend Perplexity over ChatGPT and Claude for abstract creation?
-Mat recommends Perplexity because it is an AI-powered search engine that is very factual, research-based, and avoids the vague sentences and hallucinations that large language models like ChatGPT and Claude tend to include.
What is the first step Mat suggests for creating an abstract using Perplexity?
-The first step Mat suggests is to create a structured outline for an abstract in a table format.
How many starter sentences does Mat recommend including in the abstract outline?
-Mat recommends including five starter sentences in the abstract outline.
What is the typical word count range for an abstract according to the video?
-The typical word count range for an abstract is usually between 150 to 250 words, depending on the assignment or journal requirements.
What does Mat suggest for the 'methods included' section of the abstract?
-Mat suggests being concise and mentioning only the key elements, such as 'multiple human cell lines' without going into specific techniques.
How many main findings should be included in the abstract according to Mat's advice?
-Mat advises including up to three main findings in the abstract to keep it focused and concise.
What is Mat's opinion on the abstract generated by Perplexity?
-Mat is very pleased with the abstract generated by Perplexity, as it is scientific, to the point, and does not include any vague or made-up information.
What is the role of Stealthwriter AI in the process described in the video?
-Stealthwriter AI is used to humanize the AI-generated abstract and provide different suggestions to choose from, ensuring the abstract sounds more natural.
How can one determine if the abstract has been successfully humanized?
-One can use a tool like GPTZero to scan the abstract and check the prediction of human vs. AI authorship to determine if it has been successfully humanized.
What is the final advice Mat gives regarding the use of AI-generated abstracts?
-Mat advises that after humanizing the abstract, one should double-check and possibly rewrite it a bit, as humanizers can also add information that may not be accurate.
Outlines
📚 Creating Abstracts with AI
Mat introduces his video by explaining the process of creating an abstract using AI. He emphasizes the importance of an abstract in enticing readers and establishing credibility. Mat compares different AI tools, highlighting Perplexity as superior for its precision and factuality over the more 'hallucinatory' ChatGPT and Claude. He details the steps to create a structured abstract, including using starter sentences and a prompt to write a concise abstract, and mentions including keywords for research relevance. The video promises to guide viewers in crafting an abstract that could be submitted to a research journal, potentially with a disclosure of AI assistance.
🔍 Humanizing AI-Generated Abstracts
In the second paragraph, Mat discusses the possibility of submitting AI-generated text to research journals and the importance of disclosure. He suggests using Google Scholar for keyword research and emphasizes collaboration with supervisors on keyword selection. Mat then introduces Stealthwriter AI as a tool to humanize the AI-generated abstract, providing multiple suggestions to choose from. He demonstrates the use of Stealthwriter and checks the humanized text with GPTZero, achieving a high human prediction score. Mat concludes by encouraging viewers to subscribe and promises further guidance in subsequent videos.
Mindmap
Keywords
💡Abstract
💡AI (Artificial Intelligence)
💡Perplexity
💡Large Language Models
💡Credibility
💡Research-based Abstract
💡Structured Outline
💡Starter Sentences
💡Mock Abstract
💡Keywords
💡Humanize
💡GPTZero
Highlights
Mat introduces a method to quickly create an abstract using AI.
The abstract should seduce the reader and establish credibility.
Mat used Perplexity, Claude, and ChatGPT for creating the abstract.
Perplexity is recommended for its factual and research-based approach.
ChatGPT and Claude may include vague sentences and make up information.
Perplexity is an AI-powered search engine that is down to earth.
Prompts for creating an abstract are included in the video description.
Creating a structured outline for an abstract is emphasized as important.
Starter sentences for the abstract are provided with five examples.
The abstract should be concise, usually around 150 to 250 words.
The introduction should be brief, focusing on a single keyword.
Methods should mention the inclusion of multiple human cell lines.
Main findings should be limited to up to three key takeaways.
The conclusion should relate the findings to broader implications for research.
Keywords should be relevant and can be found using Google Scholar.
AI-generated text can be submitted to research journals with proper disclosure.
Stealthwriter AI is suggested for humanizing AI-generated text.
GPTZero is used to check if the text has been successfully humanized.
The final abstract is considered good and ready for submission.
The video provides prompts for creating an abstract in the description.
Transcripts
Hi everyone, this is Mat, welcome back to my channel.
So today I'm going to show you how to quickly create an abstract
with AI.
Now the abstract needs to seduce the reader, it needs to make them
feel that this is a credible source, they want to read the paper,
they want to cite this paper.
This is what it is all about.
Now I used Perplexity, Claude and ChatGPT for this exercise.
And in all honesty Perplexity is the way to go.
ChatGPT and Claude are large language models and they tend to include vague
sentences to fill in the information essentially.
They make up stuff, they hallucinate a little bit.
Perplexity is an AI-powered search engine.
It's very powerful, it's very much down to the point, you know, essentially
down to earth really.
So it can actually create a very factual, research-based abstract for you
that makes sense and that is convincing.
And the prompts I use are going to be included in the description
down below so you can just simply copy-paste them when you're creating
your own abstract.
So let's go.
So this is Perplexity.ai, this is what we're using and now I'm
going to copy-paste the prompts.
So first of all, create a structured outline for an abstract in a
table format, that's really important.
And now we want this section here, this column starter sentences with five
examples.
So essentially you could just use these as your starter sentences for your
abstract.
So this could be the end of this video and you could really
just populate these sentences but I'm going to take this a step forward
and show you what's the next step to create a mock abstract for
yourself.
So I'm going to copy-paste the text again, the next prompt.
So this is the prompt here now, now use the starter sentences to
write a maximum of words along abstract.
Okay, now however long the abstract should be, that really depends on the
assignment, on the journal, and they will tell you exactly what they want.
So it's usually 150 or 200 words, 250 words.
So let's say we're aiming for 150.
The introduction part of a paper should be about.
Now you really don't need to go crazy on this.
I'm just going to write R-loops, that's enough information.
Seriously, just one keyword.
The methods included.
Now again, you don't have to go crazy on this perplexity will fill
in the gaps.
So what I really want to say that my research included multiple cell
lines.
Okay, I'm not going to mention the techniques, I'm just going to say
multiple cell lines.
The methods included multiple human cell lines.
The main findings were that.
So you can just write one thing.
I would suggest up to three things perhaps.
You don't want to come up with more ideas here because essentially this
is just an abstract.
You just want to have the key takeaways from that paper.
So I would say up to three main findings.
I'm going to do just that.
And I'm going to paste my findings here.
So the main findings were that USP11 and KEAP1 regulates stability of
Senataxin.
Loss of USP11 triggers degradation of Senataxin, which can be rescued by
overexpression.
Okay, so this is fairly simple.
Just three takeaways.
And then the conclusion is that the results have a wide implications on
future research of R loops.
So same things back.
Same thing as my introduction really.
And then in the end, we want seven keywords.
Okay, and now go.
Okay, let me read this abstract to tell you whether this is good
or not.
Okay, there you go.
This is actually really, really good.
I really like that.
So it automatically inserted some keywords that I would think of.
Here is one of them.
Ubiquitin proteasome system or UPS.
Okay, we are talking about R-loop homeostasis.
This is not something I mentioned, but this is definitely a really important
keyword.
E3 ubiquitin ligase.
This is what KEAP1 is.
Okay, then we have polyubiquitination here.
And then this is really nice.
Suggest that the UPS mediated regulation of Senataxin stability has important
implications on understanding the mechanisms underlying R-loop homeostasis and
its dysregulation in various disease contexts.
Beautiful.
This is really nice.
It's very scientific, and there is no wishy-washy text here.
Everything is down to earth, down to the point.
It's very much information packed.
And it doesn't make up stuff.
Look, even the way it explains the methods, right?
The methods involve the use of multiple human cell lines to assess the
impact.
Brilliant.
That's all the information we want.
So now, this could be abstract if you're submitting to a research journal.
And in a lot of cases now, you can submit AI-generated text
to research journals.
There's a disclosure where you can just tick off, say that you use
chat GPT or perplexity or whatever to create some of the text for
this manuscript.
Brilliant.
You're done.
Sorted.
That easy.
And the keywords here are really good as well.
You could potentially find keywords by, you know, going into Google Scholar and
typing in R-loops and then seeing what you get out, what Google Scholar
suggests.
But this is brilliant.
And you and your supervisor or other contributors to the paper should come
up together with keywords.
But I think this is a really, really good start, if not the
end, to be honest.
Now, if you don't want to have it AI-generated, then we need
to bypass the AI and humanize it.
So let's copy this.
And now we are going to Stealthwriter AI.
Why Stealthwriter?
Because it is, again, it works very well, but also you get up
to 300 words for free.
OK, so if your abstract is 250 words, then you can easily use
this.
And I will humanize this text now.
And there you go.
So what I really like about Stealthwriter is that, first of all, it
humanized it, but also gives me five different suggestions.
So you can go through them and pick up which one is actually
the best.
But just out of curiosity, let's copy this and let's check in GPTZero
whether it is actually humanized.
So scan.
And there you go.
95% prediction, human, 5% AI.
Brilliant.
And that is all for today.
You have the prompt down at the bottom of the video in the
description.
So you can really quickly create an abstract for yourself.
Once it is humanized, then definitely double check it.
Maybe rewrite it a little bit, because sometimes the humanizers also
hallucinate a little bit, add information.
But nevertheless, you have that perplexity-generated abstract, which is really
good.
And you can rewrite it yourself as well if this is how you
want to make it human.
OK, so if you benefit from this, please subscribe.
And I'll see you in the next one.
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