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Research Paper Generator by AcademicHelp

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Free ai research paper generator.

Research Paper Generator for Finishing Your Papers

Writing a research paper is going to be the peak of your academic path. This work will show the knowledge and skills you gained throughout your studies. Undoubtedly, this will be one of the most serious steps you will take towards your future development and career goals. 

All of this puts a lot of pressure on you as a student. You might feel lost and therefore scared of starting to write this work. If this is you, then you are going to like the idea of using our Free Research Paper Writer.

Get Instant Help With Research Paper Title Generator

Don’t worry if you don’t know where to start your research paper. We have all been there – sitting in front of a blank document unable to even come up with the proper topic for our work. Fortunately, now you don’t have to struggle for days to come up with ideas. Just open the AI Research Paper Writer and jump-start the work process with its assistance. 

All you have to do is just state the subject of your writing and at least an approximate topic you may be interested in researching. In the special field for instructions, you can ask the tool to help you create the title and introduction to your paper. And just after 2 minutes, you will have the beginning on which you can build your article further. 

When You Can Turn to AI Research Paper Generator

Our Research paper Generator will prove beneficial to those who haven’t yet started their research. Yet, this is not the only case when you can use this service.

It can be a helpful addition to your academic toolkit even if you have already begun your writing. With its assistance, students can research new aspects of their topic and, as such, make their work more thorough. You can also use it to add new or organize the already existing parts of your paper. Just give it the paragraphs you already have and you will get an example of how they can be properly structured and edited with more details. 

In any case, you can use this Research Paper Generator for any part of your paper. No matter whether it is an introduction, the main body of the text, or the conclusion to all the research you’ve done – you will be able to get some valuable insight into how you can improve your writing for the better.

Prompt Ideas for Research Paper Thesis Generator

The key to effective work with AI text generators lies in prompting. Proper prompt structuring, however, takes time and practice, which we think, you don’t have much time for. And even if you do, giving you a few ideas on how good prompts would sound wouldn’t hurt, would it? 

So, we present to you our collection of possible prompts you can use to make our AI Research Paper Writer give you the best thesis statements:

• “Research Topic: The effects of climate change on agricultural productivity in the Midwest.
• Research Question: How does climate change impact agricultural productivity in the Midwest region?
• Key Concepts: Climate change, agricultural productivity, Midwest region.
• Relationship: Investigate the impact of climate change variables on crop yields.
• Research Method: Analyzing historical climate data and crop yield records.
• Significance: Understanding the implications of climate change for food security in the region.

Analyze the following details for my research paper and based on the information you learned provide a thesis statement for the said research paper”

“Examine the relationship between regular physical exercise and stress reduction in working adults. Focus on how different exercise routines impact stress levels. Use a comparative analysis of various exercise programs among a sample of working adults aged 25-45. Highlight the importance of this research for promoting workplace wellness programs.”

You should put in the relevant details regarding your paper in the said prompts. Note though, that these are just our suggestions. You are free to experiment and create your own prompts based on these recommendations. 

Where can I get a research paper written?

It’s a better idea to write your research paper yourself. However, you can use some outside help, for example, from online writing services, hiring a freelance writer, or seeking assistance from academic writing centers at universities. You can also use AI-powered platforms such as Academichelp Research Paper Generator, to help you gain and organize ideas in your chosen topic.

Who writes a research paper?

A research paper is typically written by students, researchers, or academics who want to present their findings or arguments on a specific topic. Professional writers or academic writing services can also be hired to write research papers, especially if the person who initially needs the paper lacks the time or skills to write it themselves. However, now, we also have various AI tools that can quickly help with that problem as well.

How much does it cost to have someone write a paper for you?

The cost for a research paper depends on the service you use to write it as well as the complexity of the topic, length, deadline, and the expertise of the writer. Prices can range from $10 to $50 per page for undergraduate-level writing. For more specialized or advanced writing, such as graduate-level or technical research papers, the cost can be higher. We advise you to get quotes from multiple services or writers to find a price that fits your budget.

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Write smarter, not harder, with the power of ai paper writer tools at your fingertips., what do you want to write about.

Example: The impact of social media on mental health in teenagers

Related Tools

Welcome to ToolBaz.com, where we offer a free AI paper writer that can help you generate high-quality written content in just a few clicks. Our AI-powered tool uses advanced algorithms and natural language processing to produce well-written and well-structured papers on a wide range of topics.

Whether you're a student, researcher, or professional writer, our tool can help you save time and effort by providing you with a fast and reliable way to create written content. With our AI paper writer, you can generate text for research papers, essays , articles, and more, without the need for manual writing or editing.

How to Write Perfect Paper Using AI?

If you would like me to write a paper for you, please provide me with a clear and specific topic, as well as any additional instructions or requirements you may have. Additionally, please note that I am not a substitute for the critical thinking and research skills required to produce a high-quality academic paper.

To write a perfect paper, I would require the following:

Clear and specific topic: Please provide me with a clear and specific topic for the paper. The more specific the topic, the better I can understand your requirements and deliver a paper that meets your needs.

Instructions and requirements: Please provide any additional instructions or requirements you may have for the paper, such as formatting guidelines, length requirements, citation style, and specific sources that need to be used.

Background information: It would be helpful if you could provide me with some background information on the topic, such as previous research or studies, current trends, or any relevant data that can help me to create a more informed and comprehensive paper.

Here are some examples of requirements that you might provide when requesting a paper:

The impact of social media on mental health in teenagers Instructions: Use APA citation style, include at least five academic sources. Background information: Provide an overview of current research on the topic, including any relevant statistics or studies. Highlight the key arguments and evidence on both sides of the issue.

Another example:

The role of artificial intelligence in healthcare Instructions: Use MLA citation style, include at least three academic sources and one industry source Background information: Provide an overview of current uses of AI in healthcare and the benefits and risks associated with its use. Highlight the ethical and legal considerations surrounding AI in healthcare.

How does it Work?

AI paper writing tool is a software application that uses machine learning algorithms and natural language processing (NLP) to automatically generate written content. These tools work by analyzing large amounts of text data, such as academic journals, research papers, and online articles, to identify patterns in language and structure.

When a user inputs a topic or subject into an AI paper writing tool, the tool uses this data to generate new text that is relevant to the topic. The tool may also suggest additional sources or data to include in the paper to improve its quality and accuracy.

To achieve this, the AI paper writing tool uses a variety of techniques, including statistical analysis, machine learning, and natural language processing. The tool can analyze data such as the frequency of words and phrases in a particular field, the structure of sentences and paragraphs, and the context in which words are used.

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Our platform is designed to be user-friendly and intuitive, with a simple interface that makes it easy to input your topic and generate content. Plus, our tool is completely free to use, with no hidden fees or charges.

At ToolBaz.com, we believe that AI technology can help to democratize access to quality written content, making it easier for anyone to create high-quality papers, regardless of their writing ability or experience. Try our free AI paper writer today and experience the benefits of advanced technology for yourself.

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AI4Chat Research Paper Generator: Innovating Academic Writing

AI4Chat's Research Paper Generator is an AI-powered tool designed to streamline the creation of research papers. Harnessing the power of advanced AI models, it facilitates users to generate high-grade academic content in a single click.

How it Works

The Research Paper Generator uses cutting-edge AI models, like Google's Gemini and the Stable Diffusion model. Users specify the topic, and the AI identifies the most relevant information, structures it into a coherent form, and generates a completed research paper from these elements.

Applications

The application of this tool extends beyond just academics. It's a beneficial resource for those in the fields of scientific research, technology, humanities, and more, who are in need of generating quality content promptly.

Availability

Accessible via AI4Chat's mobile applications for Android and iOS, and through their website, the Research Paper Generator makes quality research papers just a click away, anytime, anywhere.

Questions about AI4Chat? We are here to help!

For any inquiries, drop us an email at [email protected] . We’re always eager to assist and provide more information.

What Is AI4Chat?

What features are available on ai4chat.

• 🔍 Google Search Results: Generate content that's current and fact-based using Google's search results.
• 📂 Categorizing Chats into Folders: Organize your chats for easy access and management.
• 🏷 Adding Labels: Tag your chats for quick identification and sorting.
• 📷 Custom Chat Images: Set a custom image for each chat, personalizing your chat interface.
• 🔢 Word Count: Monitor the length of your chats with a word count feature.
• 🎨 Tone Selection: Customize the tone of chatbot responses to suit the mood or context of the conversation.
• 📝 Chat Description: Add descriptions to your chats for context and clarity, making it easier to revisit and understand chat histories.
• 🔎 Search: Easily find past chats with a powerful search feature, improving your ability to recall information.
• 🔗 Sharable Chat Link: Generate a link to share your chat, allowing others to view the conversation.
• 🌍 Multilingual Chat in 75+ Languages: Communicate and generate content in over 75 languages, expanding your global reach.
• 💻 AI Code Assistance: Leverage AI to generate code in any programming language, debug errors, or ask any coding-related questions. Our AI models are specially trained to understand and provide solutions for coding queries, making it an invaluable tool for developers seeking to enhance productivity, learn new programming concepts, or solve complex coding challenges efficiently.
• 📁 AI Chat with Files and Images: Upload images or files and ask questions related to their content. AI automatically understands and answers questions based on the content or context of the uploaded files.
• 📷 AI Text to Image & Image to Image: Create stunning visuals with models like Stable Diffusion, Midjourney, DALLE v2, DALLE v3, and Leonardo AI.
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• 🎵 AI Text to Music: Convert your text prompts into melodious music tracks. Leverage the power of AI to craft unique compositions based on the mood, genre, or theme you specify in your text.
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• 🗣 AI Voice Chat: Experience interactive voice responses with AI personalities.
• ☁ Cloud Storage: All content generated is saved to the cloud, ensuring you can access your creations from any device, anytime.

Which Languages Does AI4Chat Support?

How do i toggle between different ai models, can i personalize my chats, what is a credit, can i upgrade, downgrade, or cancel my current plan anytime, what happens if i run out of credits, do unused credits carry forward to the next month, is there an option for unlimited usage, do i need a credit card to get started, what is the refund policy for subscriptions and one-time credit purchases, are payments safe, do you offer team or volume discounts, do you offer api access, can i use generated content for commercial purposes, is it easy to cancel my membership, where can i download the ai4chat mobile app, can i use the content generated using ai4chat for commercial purposes, how do i contact support, more questions, all set to level up your content game.

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The best AI tools for research papers and academic research (Literature review, grants, PDFs and more)

As our collective understanding and application of artificial intelligence (AI) continues to evolve, so too does the realm of academic research. Some people are scared by it while others are openly embracing the change. 

Make no mistake, AI is here to stay!

Instead of tirelessly scrolling through hundreds of PDFs, a powerful AI tool comes to your rescue, summarizing key information in your research papers. Instead of manually combing through citations and conducting literature reviews, an AI research assistant proficiently handles these tasks.

These aren’t futuristic dreams, but today’s reality. Welcome to the transformative world of AI-powered research tools!

This blog post will dive deeper into these tools, providing a detailed review of how AI is revolutionizing academic research. We’ll look at the tools that can make your literature review process less tedious, your search for relevant papers more precise, and your overall research process more efficient and fruitful.

I know that I wish these were around during my time in academia. It can be quite confronting when trying to work out what ones you should and shouldn’t use. A new one seems to be coming out every day!

Here is everything you need to know about AI for academic research and the ones I have personally trialed on my YouTube channel.

My Top AI Tools for Researchers and Academics – Tested and Reviewed!

There are many different tools now available on the market but there are only a handful that are specifically designed with researchers and academics as their primary user.

These are my recommendations that’ll cover almost everything that you’ll want to do:

Want to find out all of the tools that you could use?

Here they are, below:

AI literature search and mapping – best AI tools for a literature review – elicit and more

Harnessing AI tools for literature reviews and mapping brings a new level of efficiency and precision to academic research. No longer do you have to spend hours looking in obscure research databases to find what you need!

AI-powered tools like Semantic Scholar and elicit.org use sophisticated search engines to quickly identify relevant papers.

They can mine key information from countless PDFs, drastically reducing research time. You can even search with semantic questions, rather than having to deal with key words etc.

With AI as your research assistant, you can navigate the vast sea of scientific research with ease, uncovering citations and focusing on academic writing. It’s a revolutionary way to take on literature reviews.

• Elicit –  https://elicit.org
• Litmaps –  https://www.litmaps.com
• Research rabbit – https://www.researchrabbit.ai/
• Connected Papers –  https://www.connectedpapers.com/
• Supersymmetry.ai: https://www.supersymmetry.ai
• Semantic Scholar: https://www.semanticscholar.org
• Laser AI –  https://laser.ai/
• Inciteful –  https://inciteful.xyz/
• Scite –  https://scite.ai/
• System –  https://www.system.com

If you like AI tools you may want to check out this article:

• How to get ChatGPT to write an essay [The prompts you need]

AI-powered research tools and AI for academic research

AI research tools, like Concensus, offer immense benefits in scientific research. Here are the general AI-powered tools for academic research. 

These AI-powered tools can efficiently summarize PDFs, extract key information, and perform AI-powered searches, and much more. Some are even working towards adding your own data base of files to ask questions from. 

Tools like scite even analyze citations in depth, while AI models like ChatGPT elicit new perspectives.

The result? The research process, previously a grueling endeavor, becomes significantly streamlined, offering you time for deeper exploration and understanding. Say goodbye to traditional struggles, and hello to your new AI research assistant!

• Consensus –  https://consensus.app/
• Iris AI –  https://iris.ai/
• Research Buddy –  https://researchbuddy.app/
• Mirror Think – https://mirrorthink.ai

AI for reading peer-reviewed papers easily

Using AI tools like Explain paper and Humata can significantly enhance your engagement with peer-reviewed papers. I always used to skip over the details of the papers because I had reached saturation point with the information coming in. 

These AI-powered research tools provide succinct summaries, saving you from sifting through extensive PDFs – no more boring nights trying to figure out which papers are the most important ones for you to read!

They not only facilitate efficient literature reviews by presenting key information, but also find overlooked insights.

With AI, deciphering complex citations and accelerating research has never been easier.

• Aetherbrain – https://aetherbrain.ai
• Explain Paper – https://www.explainpaper.com
• Chat PDF – https://www.chatpdf.com
• Humata – https://www.humata.ai/
• Lateral AI –  https://www.lateral.io/
• Paper Brain –  https://www.paperbrain.study/
• Scholarcy – https://www.scholarcy.com/
• SciSpace Copilot –  https://typeset.io/
• Unriddle – https://www.unriddle.ai/
• Sharly.ai – https://www.sharly.ai/
• Open Read –  https://www.openread.academy

AI for scientific writing and research papers

In the ever-evolving realm of academic research, AI tools are increasingly taking center stage.

Enter Paper Wizard, Jenny.AI, and Wisio – these groundbreaking platforms are set to revolutionize the way we approach scientific writing.

Together, these AI tools are pioneering a new era of efficient, streamlined scientific writing.

• Jenny.AI – https://jenni.ai/ (20% off with code ANDY20)
• Yomu – https://www.yomu.ai
• Wisio – https://www.wisio.app

AI academic editing tools

In the realm of scientific writing and editing, artificial intelligence (AI) tools are making a world of difference, offering precision and efficiency like never before. Consider tools such as Paper Pal, Writefull, and Trinka.

Together, these tools usher in a new era of scientific writing, where AI is your dedicated partner in the quest for impeccable composition.

• PaperPal –  https://paperpal.com/
• Writefull –  https://www.writefull.com/
• Trinka –  https://www.trinka.ai/

AI tools for grant writing

In the challenging realm of science grant writing, two innovative AI tools are making waves: Granted AI and Grantable.

These platforms are game-changers, leveraging the power of artificial intelligence to streamline and enhance the grant application process.

Granted AI, an intelligent tool, uses AI algorithms to simplify the process of finding, applying, and managing grants. Meanwhile, Grantable offers a platform that automates and organizes grant application processes, making it easier than ever to secure funding.

Together, these tools are transforming the way we approach grant writing, using the power of AI to turn a complex, often arduous task into a more manageable, efficient, and successful endeavor.

• Granted AI – https://grantedai.com/
• Grantable – https://grantable.co/

Best free AI research tools

There are many different tools online that are emerging for researchers to be able to streamline their research processes. There’s no need for convience to come at a massive cost and break the bank.

The best free ones at time of writing are:

• Elicit – https://elicit.org
• Connected Papers – https://www.connectedpapers.com/
• Litmaps – https://www.litmaps.com ( 10% off Pro subscription using the code “STAPLETON” )
• Consensus – https://consensus.app/

Wrapping up

The integration of artificial intelligence in the world of academic research is nothing short of revolutionary.

With the array of AI tools we’ve explored today – from research and mapping, literature review, peer-reviewed papers reading, scientific writing, to academic editing and grant writing – the landscape of research is significantly transformed.

The advantages that AI-powered research tools bring to the table – efficiency, precision, time saving, and a more streamlined process – cannot be overstated.

These AI research tools aren’t just about convenience; they are transforming the way we conduct and comprehend research.

They liberate researchers from the clutches of tedium and overwhelm, allowing for more space for deep exploration, innovative thinking, and in-depth comprehension.

Whether you’re an experienced academic researcher or a student just starting out, these tools provide indispensable aid in your research journey.

And with a suite of free AI tools also available, there is no reason to not explore and embrace this AI revolution in academic research.

We are on the precipice of a new era of academic research, one where AI and human ingenuity work in tandem for richer, more profound scientific exploration. The future of research is here, and it is smart, efficient, and AI-powered.

Before we get too excited however, let us remember that AI tools are meant to be our assistants, not our masters. As we engage with these advanced technologies, let’s not lose sight of the human intellect, intuition, and imagination that form the heart of all meaningful research. Happy researching!

Thank you to Ivan Aguilar – Ph.D. Student at SFU (Simon Fraser University), for starting this list for me!

Dr Andrew Stapleton has a Masters and PhD in Chemistry from the UK and Australia. He has many years of research experience and has worked as a Postdoctoral Fellow and Associate at a number of Universities. Although having secured funding for his own research, he left academia to help others with his YouTube channel all about the inner workings of academia and how to make it work for you.

Thank you for visiting Academia Insider.

We are here to help you navigate Academia as painlessly as possible. We are supported by our readers and by visiting you are helping us earn a small amount through ads and affiliate revenue - Thank you!

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Smodin Author Testimonials

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How to Write a Research Paper (+ Free AI Research Paper Writer)

Table of contents

Meredith Sell

Over the years, I've managed to vastly improve how I write research papers.

The three major game-changers for me, in terms of quality of the finished piece, have been:

• Following the research paper checklist (see below)
• Developing the thesis before starting to write
• And, more recently, using AI to improve my research paper draft

Let's break down each of these elements and produce the kind of research papers that get cited in magazines.

FREE AI research paper writer > FREE AI research paper writer >

What is a research paper, and how is it written differently?

Research papers are longer and more in-depth than essays. They require extensive research and evidence-based arguments. Research papers also typically have a more formal structure and require citations and references.When academics want to find a balanced and comprehensive view on a given topic, they usually seek a research paper.

Like most writing assignments, a research paper can be broken down into simple steps. Research papers follow the same basic writing process as explanatory or persuasive essays — but instead of making an argument or drawing greater meaning from the topic, the research paper is primarily concerned with concrete facts that may be analyzed, examined, or interpreted to better understand the paper’s central topic.

This is good news if you enjoy research: you’ll be doing a lot of it. The ultimate quality of your paper depends on you conducting thorough, complete research — and relying on reputable sources.

How to Properly Write a Research Paper Using AI

1. make a checklist based on the assignment description, and fill it out with ai.

Your professor has likely specified some criteria for your research paper:

• Length (in pages or words)
• Type of topic (the War of 1812, ancient Greece, agriculture, etc.)
• Elements that must be included, such as analysis, discussion, and comparison.
• Types of sources you must draw from (academic papers, encyclopedias, etc.)
• Source attribution style
• Formatting style

Go through the assignment description and create a checklist of those criteria. You can use this checklist throughout the research and writing process as well:

AI can really help you get some traction with your research paper in the preperation stage. This includes two main steps:

• Brainstorming paper topic idea
• Outlining based on your topic, basing the prompt on the assignment

2. Choose a topic you’re curious about, or use AI to help you with that

A sure way to write a boring research paper is to pick a topic you have no interest in, like summer temperatures in the desert or the life cycle of a flea. (Though someone’s probably interested in those things.)

Instead, follow your curiosity.

If your paper is for a writing class, you may have a lot of freedom to choose what you write about, so tap into your interests. Are you intrigued by the history of roller skating or the invention of the soccer cleat? Or how teen social dynamics have changed with evolving technology (think: home phones → online instant messaging → flip phones → smartphones)?

If you’re writing for a class in a subject like history, art, or science, you’ll probably have more restrictions on what you can write about — like a time period or type of art or science — but you can still use your curiosity to pick an interesting topic.

If you’re having a tough time, try brainstorming a list of things you’ve wondered about. Ask “ what’s up with… ” and see what comes to mind.

For example:

What’s up with traffic circles and why are they supposedly better for traffic patterns than a light or four-way stop?

What’s up with country music sounding more and more like hip-hop?

What’s up with people who have gluten allergies being able to eat bread in Europe but not the US?

Once you have a list, choose the topic you find most interesting (and appropriate for the assignment).

If your mind draws a blank, you can utilize AI to help you choose a topic. Let's say your course is about mid century art. You can go to a tool like Wotdtune and ask it to give you ideas for creative mid century art essays. See example below.

3. Develop your thesis (and guide your research) by asking a research question

Even though a research paper may not necessarily take a side on a topic, it still needs a thesis, aka a central idea or focus that drives the piece from beginning to end. 

We wrote a whole guide on writing thesis statements , so here we’ll just give you this tip:

Use a research question to develop your thesis

A research question is a variation on the “What’s up with…” questions from the last tip — but it will zoom in more specifically on the aspect of your topic that you’re investigating.

Why were the Irish so dependent on potatoes?

Did any women in ancient Greece enjoy relative freedom and autonomy?

You may already know the answer to these questions, or you may not. Either way, they give you a place to start in your research. Once you have your question, set out to:

• Find the initial answer.
• Gather more context (the who, what, when, where, why, how) around that answer.
• Revise your research question and turn it into your thesis.

This process helps tighten your focus from a broad topic that could fill books to a specific angle that can be meaningfully explored in the few pages of your paper.

Instead of the potato famine , write about why England was to blame for the potato famine’s devastating effects on the Irish.

Instead of ancient Greece or women in ancient Greece , write about how Spartan women’s lives differed from the lives of women in Athens.

4. Skim sources and use AI to perform research for your paper

Your research question can help you quickly determine whether information is relevant to your paper. As you gather initial sources, skim them — and then use your research question to decide whether to keep or discard the source. 

Does the source cover information relevant to my research question?

Yes: Keep to read later.

No: Discard and move on to the next source.

This approach will save you precious research time. You won’t waste limited hours reading sources that don’t have a single helpful fact.

If skimming is hard for you (as a deep reader, I get it), Wordtune can help. Paste the link to your online source, upload a scanned PDF, or copy the text, and the tool will scan and summarize for you. You can always come back later and closely read the most useful sources.

5. Make note of the most interesting facts you find

Along with taking detailed notes of your research (complete with all the source info you need to make proper citations), highlight the most interesting facts you come across. You could stick these in a section together or mark them in a way that makes them stand out.

Why should you do this?

Because later on, one of these fascinating factoids could have a direct connection to your thesis — and make a great hook for the start of your paper. Instead of digging through all of your notes to try to remember what that interesting tidbit was, you’ll be able to find it easily.

6. Organize your research

There are plenty of ways to organize your notes, but I suggest breaking them up into subtopics and categories.

• Subtopic: A topic related to your main topic or thesis that needs to be explained and understood by readers in order to understand your main topic or thesis. For example: Land ownership in Ireland under British rule.
• Category: An overarching concept that several subtopics fall under. For example: British restrictions on the Irish.

To start, I would focus on the subtopics and then group them into categories.

As you organize, use the formatting tools in your word processor to tag headings and subheadings. For example, all categories would be an H2 (Heading 2), while all subtopics would be an H3 (Heading 3). 

Tagging your categories and subtopics this way will help you develop your outline. Just organize your categories and subtopics in a logical order, and you’ll have a skeleton of an outline ready to go.

7. Write with your research document open

No one can remember everything they found while researching — you’ll need to reference your research document throughout the writing process. No question there.

But you can make this easier (and keep your writing process efficient) by:

Keeping your research document open and in clear view.

I like to put my draft document and my research document side by side on my screen, so I can see them both at the same time. 

Another approach would be to paste the information you need directly into your draft document — in the order you’ll need it. (Your outline will help you know what you need.)

8. Steal the TK trick from journalists

In the middle of drafting your paper, you find that you’re missing a fact. 

You neglected to write down how many Irish people starved due to the potato famine.

You don’t know what age Spartan women were able to own property.

Instead of derailing your writing and searching for that information, write the sentence you want to write and stick a “TK” where the missing fact should go.

“TK” stands for “to come” (don't ask us why) and is a placeholder used by journalists to mark missing information they’ll fill in later. Using TK allows you to keep writing without getting off track every time you discover your research didn’t cover everything.

A whopping TK Irish people starved, thanks to the combination of famine and British oppression.

At age TK , Spartan girls became women who were able to own property, a right that their sisters in Athens did not enjoy.

9. Revise, explain, paraphrase with AI as your research/writing assistant

Using the right researching tools can get you a lot way.

If you’re ever at a loss for words — writing clunky, clumsy sentences, struggling to explain a concept, or having a hard time paraphrasing a source — Wordtune can serve as your AI sidekick.  

Simply highlight the sentence in question and browse Wordtune’s suggestion for a better wording.

You can also use Wordtune Spices to come up with examples and counter arguments for whatever you're writing about or even find stats and facts, complete with source citations

Wordtune doesn’t do all of the writing for you, but it can help you sharpen your ideas on the sentence level, so you can hand in a research paper with good writing that’s still very much your own.

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AI for thesis writing — Unveiling 7 best AI tools

Table of Contents

Writing a thesis is akin to piecing together a complex puzzle. Each research paper, every data point, and all the hours spent reading and analyzing contribute to this monumental task.

For many students, this journey is a relentless pursuit of knowledge, often marked by sleepless nights and tight deadlines.

Here, the potential of AI for writing a thesis or research papers becomes clear: artificial intelligence can step in, not to take over but to assist and guide.

Far from being just a trendy term, AI is revolutionizing academic research, offering tools that can make the task of thesis writing more manageable, more precise, and a little less overwhelming.

In this article, we’ll discuss the impact of AI on academic writing process, and articulate the best AI tools for thesis writing to enhance your thesis writing process.

The Impact of AI on Thesis Writing

Artificial Intelligence offers a supportive hand in thesis writing, adeptly navigating vast datasets, suggesting enhancements in writing, and refining the narrative.

With the integration of AI writing assistant, instead of requiring you to manually sift through endless articles, AI tools can spotlight the most pertinent pieces in mere moments. Need clarity or the right phrasing? AI-driven writing assistants are there, offering real-time feedback, ensuring your work is both articulative  and academically sound.

AI tools for thesis writing harness Natural Language Processing (NLP) to generate content, check grammar, and assist in literature reviews. Simultaneously, Machine Learning (ML) techniques enable data analysis, provide personalized research recommendations, and aid in proper citation.

And for the detailed tasks of academic formatting and referencing? AI streamlines it all, ensuring your thesis meets the highest academic standards.

However, understanding AI's role is pivotal. It's a supportive tool, not the primary author. Your thesis remains a testament to your unique perspective and voice.

AI for writing thesis is there to amplify that voice, ensuring it's heard clearly and effectively.

How AI tools supplement your thesis writing

AI tools have emerged as invaluable allies for scholars. With just a few clicks, these advanced platforms can streamline various aspects of thesis writing, from data analysis to literature review.

Let's explore how an AI tool can supplement and transform your thesis writing style and process.

Efficient literature review : AI tools can quickly scan and summarize vast amounts of literature, making the process of literature review more efficient. Instead of spending countless hours reading through papers, researchers can get concise summaries and insights, allowing them  to focus on relevant content.

Enhanced data analysis : AI algorithms can process and analyze large datasets with ease, identifying patterns, trends, and correlations that might be difficult or time-consuming for humans to detect. This capability is especially valuable in fields with massive datasets, like genomics or social sciences.

Improved writing quality : AI-powered writing assistants can provide real-time feedback on grammar, style, and coherence. They can suggest improvements, ensuring that the final draft of a research paper or thesis is of high quality.

Plagiarism detection : AI tools can scan vast databases of academic content to ensure that a researcher's work is original and free from unintentional plagiarism .

Automated citations : Managing and formatting citations is a tedious aspect of academic writing. AI citation generators  can automatically format citations according to specific journal or conference standards, reducing the chances of errors.

Personalized research recommendations : AI tools can analyze a researcher's past work and reading habits to recommend relevant papers and articles, ensuring that they stay updated with the latest in their field.

Interactive data visualization : AI can assist in creating dynamic and interactive visualizations, making it easier for researchers to present their findings in a more engaging manner.

Top 7 AI Tools for Thesis Writing

The academic field is brimming with AI tools tailored for academic paper writing. Here's a glimpse into some of the most popular and effective ones.

Here we'll talk about some of the best ai writing tools, expanding on their major uses, benefits, and reasons to consider them.

If you've ever been bogged down by the minutiae of formatting or are unsure about specific academic standards, Typeset is a lifesaver.

Typeset specializes in formatting, ensuring academic papers align with various journal and conference standards.

It automates the intricate process of academic formatting, saving you from the manual hassle and potential errors, inflating your writing experience.

An AI-driven writing assistant, Wisio elevates the quality of your thesis content. It goes beyond grammar checks, offering style suggestions tailored to academic writing.

This ensures your thesis is both grammatically correct and maintains a scholarly tone. For moments of doubt or when maintaining a consistent style becomes challenging, Wisio acts as your personal editor, providing real-time feedback.

Known for its ability to generate and refine thesis content using AI algorithms, Texti ensures logical and coherent content flow according to the academic guidelines.

When faced with writer's block or a blank page, Texti can jumpstart your thesis writing process, aiding in drafting or refining content.

JustDone is an AI for thesis writing and content creation. It offers a straightforward three-step process for generating content, from choosing a template to customizing details and enjoying the final output.

JustDone AI can generate thesis drafts based on the input provided by you. This can be particularly useful for getting started or overcoming writer's block.

This platform can refine and enhance the editing process, ensuring it aligns with academic standards and is free from common errors. Moreover, it can process and analyze data, helping researchers identify patterns, trends, and insights that might be crucial for their thesis.

Tailored for academic writing, Writefull offers style suggestions to ensure your content maintains a scholarly tone.

This AI for thesis writing provides feedback on your language use, suggesting improvements in grammar, vocabulary, and structure . Moreover, it compares your written content against a vast database of academic texts. This helps in ensuring that your writing is in line with academic standards.

Isaac Editor

For those seeking an all-in-one solution for writing, editing, and refining, Isaac Editor offers a comprehensive platform.

Combining traditional text editor features with AI, Isaac Editor streamlines the writing process. It's an all-in-one solution for writing, editing, and refining, ensuring your content is of the highest quality.

PaperPal , an AI-powered personal writing assistant, enhances academic writing skills, particularly for PhD thesis writing and English editing.

This AI for thesis writing offers comprehensive grammar, spelling, punctuation, and readability suggestions, along with detailed English writing tips.

It offers grammar checks, providing insights on rephrasing sentences, improving article structure, and other edits to refine academic writing.

The platform also offers tools like "Paperpal for Word" and "Paperpal for Web" to provide real-time editing suggestions, and "Paperpal for Manuscript" for a thorough check of completed articles or theses.

Is it ethical to use AI for thesis writing?

The AI for writing thesis has ignited discussions on authenticity. While AI tools offer unparalleled assistance, it's vital to maintain originality and not become overly reliant. Research thrives on unique contributions, and AI should be a supportive tool, not a replacement.

The key question: Can a thesis, significantly aided by AI, still be viewed as an original piece of work?

AI tools can simplify research, offer grammar corrections, and even produce content. However, there's a fine line between using AI as a helpful tool and becoming overly dependent on it.

In essence, while AI offers numerous advantages for thesis writing, it's crucial to use it judiciously. AI should complement human effort, not replace it. The challenge is to strike the right balance, ensuring genuine research contributions while leveraging AI's capabilities.

Wrapping Up

Nowadays, it's evident that AI tools are not just fleeting trends but pivotal game-changers.

They're reshaping how we approach, structure, and refine our theses, making the process more efficient and the output more impactful. But amidst this technological revolution, it's essential to remember the heart of any thesis: the researcher's unique voice and perspective .

AI tools are here to amplify that voice, not overshadow it. They're guiding you through the vast sea of information, ensuring our research stands out and resonates.

Try these tools out and let us know what worked for you the best.

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Frequently Asked Questions

Yes, you can use AI to assist in writing your thesis. AI tools can help streamline various aspects of the writing process, such as data analysis, literature review, grammar checks, and content refinement.

However, it's essential to use AI as a supportive tool and not a replacement for original research and critical thinking. Your thesis should reflect your unique perspective and voice.

Yes, there are AI tools designed to assist in writing research papers. These tools can generate content, suggest improvements, help with formatting, and even provide real-time feedback on grammar and coherence.

Examples include Typeset, JustDone, Writefull, and Texti. However, while they can aid the process, the primary research, analysis, and conclusions should come from the researcher.

The "best" AI for writing papers depends on your specific needs. For content generation and refinement, Texti is a strong contender.

For grammar checks and style suggestions tailored to academic writing, Writefull is highly recommended. JustDone offers a user-friendly interface for content creation. It's advisable to explore different tools and choose one that aligns with your requirements.

To use AI for writing your thesis:

1. Identify the areas where you need assistance, such as literature review, data analysis, content generation, or grammar checks.

2. Choose an AI tool tailored for academic writing, like Typeset, JustDone, Texti, or Writefull.

3. Integrate the tool into your writing process. This could mean using it as a browser extension, a standalone application, or a plugin for your word processor.

4. As you write or review content, use the AI tool for real-time feedback, suggestions, or content generation.

5. Always review and critically assess the suggestions or content provided by the AI to ensure it aligns with your research goals and maintains academic integrity.

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17 August 2021

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Writing tools powered by artificial intelligence (AI) have the potential to reduce manuscript preparation time to a few days, or hours. Deep-learning technologies that run chatbots, spellchecks and auto-generated tweets are being used in a growing number of products pitched at students and academics.

Grammarly, for example, claims to “inspect your writing carefully to improve clarity, word choice and more”, offering free and fee-based services.

But are these tools up to the task? In an experiment through education information site EduRef, a group of recent graduates, undergraduates and self-described undergraduate-level writers were given the same assignments as GPT-3, an AI language program developed by OpenAI, a research company co-founded by Elon Musk.

The assignments were evaluated by instructors who did not know who (or what) had written them. GPT-3 performed in line with the humans, according to EduRef, and received “more or less the same feedback”.

The program was praised for writing excellent openings and transitions, but was criticised for using vague, blunt and awkward language, and for failing to craft a strong narrative. It wrote shallow, less descriptive papers than the students, according to EduRef’s write-up on its website, but it took between three and 20 minutes to write a paper, compared to three days for the students.

Hilde van Zeeland is chief applied linguist at start-up company Writefull, which offers AI-based language editing, and is part of London-based Digital Science (see disclosure, below). She says AI tools are already powerful enough to improve a writer’s sentence flow and structure, and will continue to improve.

The company recently analysed more than 250,000 abstracts to identify the most commonly used phrases in each of four different parts of the abstract.

They found, for example, that the words ‘aim of this study’ occurred most frequently in part 1 of the abstract (where study aim and background are described) and the phrase ‘95% confidence interval’ occurred most often in part 4 (which deals with meaning of results, contribution, future research). Users can choose phrases and connecting sentences to use in their own papers.

“With this database of phrases, when a user struggles with the right word to use for each section, our software will be able to provide good alternatives,” says van Zeeland.

The website tells users not to worry about plagiarism, reassuring them that certain phrases won’t be flagged by a plagiarism checker because they are short and commonly used.

Writefull is running a separate experiment that involves feeding an abstract into an AI tool, which generates a paper title based on the input. This function can enhance title readability, draw readership to the abstract and make the article more visible to search engines, according to van Zeeland.

AI tools can do more than check a writer’s grammar and spelling and suggest frequently used phrases, says computer scientist, Guillaume Cabanac, from the University of Toulouse in France.

An analysis of journal-published computer-science papers by Cabanac and his colleagues, posted as a preprint on arXiv in July and yet to be peer-reviewed, found swathes of articles containing tortured phrases and nonsensical text. For example, the phrase ‘colossal information’ was used instead of ‘big data’.

The authors suspect that these papers were the result of using automated translations or software that rewrites existing text to disguise plagiarism, according to a report in Nature .

Their study prompted warnings from research integrity experts that a new type of fabricated paper was entering the scientific literature, which will be hard to spot as AI tools learn to use more sophisticated language.

Considerations for using AI writing tools in academic work

Shu Chian Tay, a science communicator at the National University of Singapore , fears that AI writing tools could exacerbate inequality between labs with different access to resources or openness to trying new technologies.

Shu Chian Tay

“Consider a hypothetical situation where AI science-writing is possible and two labs have made the same research breakthrough at the same time,” says Tay.

“One lab stuck to human writing, which took weeks, while the other made use of AI writing tools. The latter, who is likely to publish earlier would get most, if not all, of the scientific recognition and lucrative intellectual property rights.”

Will AI replace human writing?

Tay notes that although AI writing tools are quite powerful, they have not yet reached a point where they can write a scientific manuscript from scratch. “We still need researchers to analyse data, present them as figures, and develop a coherent story before feeding all this information to the AI machine,” she says.

Ryan Morrison, professor of English as a second language at George Brown College in Toronto, Canada, says that although the adoption of AI in academic writing is inevitable, it is unlikely to replace human writing in the near future.

Ryan Morrison

“Just as super-computer calculators can process large sets of numbers fast, AI writing tools outperform humans in completing tasks like spell checks and text generation at a much faster rate,” says Morrison. “But the creativity of AI is ultimately limited by the input materials and the discretion of the human curator.”

Software such as Turnitin is also incorporating AI technology to enhance its ability to detect plagiarism. This could potentially be used to identify documents written using AI tools.

Be transparent about using AI writing tools in academic work

Michael Mindzak, assistant professor in the department of educational studies at Brock University in Ontario, Canada, cautions that the academic community has not yet agreed on how to manage potential problems related to AI writing tools, such as plagiarism and authorship credits.

Michael Mindzak

Most institutions are yet to formulate policies on the use of these tools by students and staff. This can be problematic when committee members making decisions on tenure and promotion have different views about the appropriateness of using them, says Mindzak.

“My advice is to be transparent,” says Mindzak. “Declare and add a disclaimer if you have used AI-assisted writing. As more people in the community do this, it may become a norm, just like how the ‘conflict of interest’ section has been added to academic papers in response to a rise in company-funded research and start-ups from academic labs.”

*Digital Science is a subsidiary of Holtzbrinck Publishing Group, which owns 53% of Springer Nature, publisher of the Nature Index. Nature Index is editorially independent of its publisher.

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AI-powered Introduction Generator

Looking for a tool that can help you generate an entire article that is coherent and contextually relevant? Try our Blog Post Generator to create ready-to-publish content that are already optimized for maximum clarity and engagement.

Your generated introduction will appear here.

Introduction

An Introduction Generator is a groundbreaking tool that helps writers in various fields - from blog posts and essays to novels and business proposals. This AI-powered technology works by creating interesting introductions specifically for your topic with just a click. You simply enter the title or subject of your content, and you'll receive a set of well-crafted introduction paragraphs.

One such powerful tool in this space is Junia AI 's Introduction Generator . Designed with the latest AI-technology, it generates high-quality introductions that not only save time but also elevate the standard of your writing.

The key benefits of using Junia AI's Introduction Generator are:

• Enhanced efficiency
• Improved quality
• Greater engagement with readers
• Increased creativity
• Boost in content traffic

The Role of Introductions in Different Types of Content

Introductions are like the front door of your content – they welcome readers in. Whether you're writing an essay, a blog post , a novel, or a business proposal, the introduction plays a crucial role in setting the tone and capturing attention.

Here's how introductions work in different types of content:

1. Essay Introductions

In essays, the introduction is where you present your main argument or thesis. It's also an opportunity to grab readers' interest with a thought-provoking question or a bold statement.

For example:

"As sea levels rise and Arctic ice melts, the evidence of global warming can no longer be ignored."

2. Blog Introductions

Blogs are all about personality and relevance. A good blog introduction often starts with a relatable story or anecdote to hook readers right from the beginning.

Here's an example:

"The moment my feet touched the cobblestone streets of Rome, I knew my adventure had truly begun."

By sharing personal experiences, you can create a connection with your audience and makes them eager to read more about your travels.

3. Novel Openings

In novels, the opening lines are like a sneak peek into the world you've created. They should spark curiosity and make readers curious about what comes next.

Here's how 'The Last Sunset' starts:

"Amelia stood at the edge of civilization, the vast desert stretching before her like an unturned page."

With this vivid description, the author paints a picture in the reader's mind and leaves them wanting to know more about Amelia and her journey.

4. Business Proposal Introductions

Business proposals need to make a strong impression right from the start. An effective introduction in this context should establish your credibility and highlight the value you can offer.

For instance:

"In today's competitive market, ABC Corp’s innovative approach to digital marketing stands out as a beacon of efficiency."

This introduction immediately grabs the attention of potential clients by addressing a pressing need or opportunity they may have.

5. Academic Research Introductions

In academic research papers, the introduction serves as a roadmap for the study. It outlines the research questions and hypotheses, providing clarity on what the paper aims to achieve.

Here's an example of how an academic introduction could begin:

"This study examines the underexplored impact of social media on language acquisition among teenagers."

By stating the specific focus of the research, the introduction sets clear expectations for readers and highlights the significance of the study.

Each example shows how introductions are tailored to different types of content, making them relevant and enticing enough to keep readers engaged.

AI-Powered Natural Language Processing: The Secret Sauce Behind High-Quality Introductions

Artificial Intelligence (AI) is the foundation of modern introduction generators like Junia AI. One of the main AI technologies driving these tools is Natural Language Processing (NLP). NLP enables software to comprehend, analyze, and produce human language in a meaningful way . It's what enables an Introduction Generator to generate introductions that are relevant to the context and interesting to readers.

How NLP Works in an Introduction Generator

When you enter your title or topic into an Introduction Generator, the NLP technology goes to work. It examines the input, grasps its meaning, and generates an introduction that fits the topic. This ensures that your introductions are not just generic paragraphs but tailored pieces designed to capture your reader’s interest right from the start.

Continuous Improvement with Machine Learning

Another layer of complexity comes with Machine Learning (ML), another part of AI. With ML algorithms, introduction generators go beyond content creation; they learn from it. These algorithms identify patterns and constantly enhance the quality of generated introductions based on real-time feedback. This means that over time, these tools become better at creating high-quality introductions that are customized to your specific requirements.

In essence, it's this combination of AI’s Natural Language Processing and Machine Learning capabilities that make introduction generators such invaluable tools for content creators. They don't just save time; they elevate the quality of your written work by ensuring each piece begins with a compelling introduction.

Advantages of Using an Introduction Generator like Junia AI

When you use an Introduction Generator like Junia AI, it offers more than just convenience. Here are the main benefits that can improve your writing process:

• Time Efficiency : As a writer or content creator, every minute counts. Junia AI's Introduction Generator quickly creates introductions, saving you valuable time. This allows you to focus more on researching, writing, and improving the main content, which is crucial for depth and detail.
• Improved Quality and Professionalism : An introduction is a crucial part that sets the tone for your entire piece. Junia AI makes sure this first impression is polished and professional. The introductions generated are not only interesting but also customized to match the quality you aim for in your writing.
• Higher Reader Engagement : The right opening can grab your audience's attention right away. With well-written openings provided by Junia AI, readers are more likely to stay interested in your content, leading to better retention rates and overall satisfaction.
• Boosted Creativity and Idea Generation : Sometimes, starting is the most difficult part. Junia AI acts as a partner in brainstorming, giving you a base on which ideas can develop. It sparks creativity by suggesting different angles and perspectives you might not have thought of before.

By incorporating these benefits into your workflow, Junia AI's Introduction Generator becomes more than just a tool; it's a collaborator that improves the quality of your content while making your creative process smoother.

Tips for Using Introduction Generators Effectively

Using an Introduction Generator can be a game-changer in your content creation process, but it's crucial to use these tools effectively to get the most out of them.

1. Customize the Output

The first rule of thumb is to treat the output from an introduction generator as a starting point for customization . Don't see it as the final product. These tools are meant to give you a strong foundation that you can then modify and adapt to your own style and the specific needs of your audience. Remember, automated tools can't fully replicate human creativity and nuanced understanding of context, so adding your personal touch is essential .

2. Review and Edit Carefully

To ensure consistency with the rest of your content, take an active role in proofreading and editing the generated introductions. Pay attention to:

• Consistency in tone and style throughout the text.
• Relevance and alignment with the main body of content.
• Clarity of message and avoidance of ambiguity.
• Readability - read the introduction aloud to assess its flow and readability. Make any necessary adjustments to enhance the overall coherence and impact.

By doing this, you can maintain a smooth flow of information and keep your readers interested from start to finish.

Incorporating these practices in your writing routine can help you make the most of introduction generators and improve your content overall.

Choosing the Right Introduction Generator for Your Needs

Selecting the ideal Introduction Generator for your writing projects involves careful consideration of several factors. You need a tool that not only streamlines your workflow but also aligns with your content goals and quality standards. Here are key criteria to evaluate:

1. Accuracy and Relevance

Ensure the generator produces introductions that accurately reflect your topic and resonate with your target audience.

2. Customization Options

Look for tools offering customization features, allowing you to tailor the output to your voice and style preferences.

3. Ease of Use

A user-friendly interface is crucial for a seamless experience. Opt for generators that simplify the creative process with intuitive controls.

4. Output Quality

The best introduction generators provide well-structured, coherent, and engaging content that requires minimal editing.

5. Feedback Incorporation

Choose a generator capable of learning from user feedback, thus improving over time.

6. Support and Resources

Consider whether there's quality customer support and resources like tutorials or community forums.

Given these criteria, Junia AI's Introduction Generator stands out as a top choice for writers. It is renowned for its:

• High-quality output that often surpasses expectations
• Advanced AI technology ensuring relevance and coherence
• Positive user reviews attesting to its effectiveness
• Robust feature set catering to a diverse range of writing needs

Writers seeking an edge in crafting compelling introductions will find Junia AI to be an invaluable asset in their toolkit.

Using AI technology like Junia AI's Introduction Generator can greatly enhance your ability to create effective introductions. Here's why it's worth considering:

• Efficiency : These tools make writing introductions faster and easier.
• Quality : With machine learning algorithms, the intros you generate will continuously improve, sounding more professional and polished.
• Engagement : Well-crafted introductions grab readers' attention and make them more likely to continue reading.

By using Junia AI's Introduction Generator, you can experience these benefits for yourself. This tool demonstrates how AI can transform the writing process, providing a valuable resource for writers who want to captivate their audience from the very beginning.

Give it a try and discover how AI can revolutionize your approach to writing!

Frequently asked questions

• What is an Introduction Generator? An Introduction Generator is a groundbreaking tool that helps in creating engaging and impactful introductions for various types of content using AI technology.
• What is the role of introductions in different types of content? Introductions serve as the front door of your content, setting the tone and capturing the audience's attention. They are essential for essays, blogs, novels, business proposals, academic research papers, and more.
• How does an AI Introduction Generator work? An AI Introduction Generator works by using Natural Language Processing (NLP) and Machine Learning (ML) technologies to analyze the input, understand its meaning, and generate contextually relevant and engaging introductions for various types of content.
• What are some reasons to choose Junia AI's AI Introduction Generator? Junia AI's AI Introduction Generator offers time efficiency, improved quality and professionalism, higher reader engagement, and boosted creativity and idea generation. It is a valuable tool for content creators looking to enhance their writing process.

Free AI Paragraph Generator

Get your writing process off to a great start by generating fully coherent, compelling paragraphs.

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Use cases of ahrefs’ paragraph generator.

Content creation. Ahrefs’ Paragraph Generator can be utilized to quickly generate engaging and informative paragraphs for various types of content. Whether it's blog posts, articles, product descriptions, or social media captions, the tool can assist in generating compelling paragraphs, saving time and effort for content creators.

Academic writing. Students and researchers can benefit from Ahrefs’ Paragraph Generator when working on papers, essays, or research articles. By providing the necessary instructions, the tool can generate well-structured paragraphs that present key arguments, evidence, and analysis, aiding in the writing process.

Personal writing and communication. Individuals who need to write emails, personal letters, or other forms of written communication can leverage Ahrefs’ Paragraph Generator. It can help in composing coherent and well-structured paragraphs, ensuring effective expression of thoughts and ideas, while also saving time by providing a starting point for the writing process.

The technology behind Ahrefs’ Paragraph Generator

Ahrefs’ Paragraph Generator uses a language model that learns patterns, grammar, and vocabulary from large amounts of text data – then uses that knowledge to generate human-like text based on a given prompt or input. The generated text combines both the model's learned information and its understanding of the input.

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AI Literature Review Generator

Generate high-quality literature reviews fast with ai.

• Academic Research: Create a literature review for your thesis, dissertation, or research paper.
• Professional Research: Conduct a literature review for a project, report, or proposal at work.
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• Personal Research: Conduct a literature review to deepen your understanding of a topic of interest.

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RECOMMENDED READS

• 5 Steps to Getting Started with Llama 2
• The Llama Ecosystem: Past, Present, and Future
• Introducing Code Llama, a state-of-the-art large language model for coding
• Meta and Microsoft Introduce the Next Generation of Llama
• Today, we’re introducing Meta Llama 3, the next generation of our state-of-the-art open source large language model.
• Llama 3 models will soon be available on AWS, Databricks, Google Cloud, Hugging Face, Kaggle, IBM WatsonX, Microsoft Azure, NVIDIA NIM, and Snowflake, and with support from hardware platforms offered by AMD, AWS, Dell, Intel, NVIDIA, and Qualcomm.
• We’re dedicated to developing Llama 3 in a responsible way, and we’re offering various resources to help others use it responsibly as well. This includes introducing new trust and safety tools with Llama Guard 2, Code Shield, and CyberSec Eval 2.
• In the coming months, we expect to introduce new capabilities, longer context windows, additional model sizes, and enhanced performance, and we’ll share the Llama 3 research paper.
• Meta AI, built with Llama 3 technology, is now one of the world’s leading AI assistants that can boost your intelligence and lighten your load—helping you learn, get things done, create content, and connect to make the most out of every moment. You can try Meta AI here .

Today, we’re excited to share the first two models of the next generation of Llama, Meta Llama 3, available for broad use. This release features pretrained and instruction-fine-tuned language models with 8B and 70B parameters that can support a broad range of use cases. This next generation of Llama demonstrates state-of-the-art performance on a wide range of industry benchmarks and offers new capabilities, including improved reasoning. We believe these are the best open source models of their class, period. In support of our longstanding open approach, we’re putting Llama 3 in the hands of the community. We want to kickstart the next wave of innovation in AI across the stack—from applications to developer tools to evals to inference optimizations and more. We can’t wait to see what you build and look forward to your feedback.

Our goals for Llama 3

With Llama 3, we set out to build the best open models that are on par with the best proprietary models available today. We wanted to address developer feedback to increase the overall helpfulness of Llama 3 and are doing so while continuing to play a leading role on responsible use and deployment of LLMs. We are embracing the open source ethos of releasing early and often to enable the community to get access to these models while they are still in development. The text-based models we are releasing today are the first in the Llama 3 collection of models. Our goal in the near future is to make Llama 3 multilingual and multimodal, have longer context, and continue to improve overall performance across core LLM capabilities such as reasoning and coding.

State-of-the-art performance

Our new 8B and 70B parameter Llama 3 models are a major leap over Llama 2 and establish a new state-of-the-art for LLM models at those scales. Thanks to improvements in pretraining and post-training, our pretrained and instruction-fine-tuned models are the best models existing today at the 8B and 70B parameter scale. Improvements in our post-training procedures substantially reduced false refusal rates, improved alignment, and increased diversity in model responses. We also saw greatly improved capabilities like reasoning, code generation, and instruction following making Llama 3 more steerable.

*Please see evaluation details for setting and parameters with which these evaluations are calculated.

In the development of Llama 3, we looked at model performance on standard benchmarks and also sought to optimize for performance for real-world scenarios. To this end, we developed a new high-quality human evaluation set. This evaluation set contains 1,800 prompts that cover 12 key use cases: asking for advice, brainstorming, classification, closed question answering, coding, creative writing, extraction, inhabiting a character/persona, open question answering, reasoning, rewriting, and summarization. To prevent accidental overfitting of our models on this evaluation set, even our own modeling teams do not have access to it. The chart below shows aggregated results of our human evaluations across of these categories and prompts against Claude Sonnet, Mistral Medium, and GPT-3.5.

Preference rankings by human annotators based on this evaluation set highlight the strong performance of our 70B instruction-following model compared to competing models of comparable size in real-world scenarios.

Our pretrained model also establishes a new state-of-the-art for LLM models at those scales.

To develop a great language model, we believe it’s important to innovate, scale, and optimize for simplicity. We adopted this design philosophy throughout the Llama 3 project with a focus on four key ingredients: the model architecture, the pretraining data, scaling up pretraining, and instruction fine-tuning.

Model architecture

In line with our design philosophy, we opted for a relatively standard decoder-only transformer architecture in Llama 3. Compared to Llama 2, we made several key improvements. Llama 3 uses a tokenizer with a vocabulary of 128K tokens that encodes language much more efficiently, which leads to substantially improved model performance. To improve the inference efficiency of Llama 3 models, we’ve adopted grouped query attention (GQA) across both the 8B and 70B sizes. We trained the models on sequences of 8,192 tokens, using a mask to ensure self-attention does not cross document boundaries.

Training data

To train the best language model, the curation of a large, high-quality training dataset is paramount. In line with our design principles, we invested heavily in pretraining data. Llama 3 is pretrained on over 15T tokens that were all collected from publicly available sources. Our training dataset is seven times larger than that used for Llama 2, and it includes four times more code. To prepare for upcoming multilingual use cases, over 5% of the Llama 3 pretraining dataset consists of high-quality non-English data that covers over 30 languages. However, we do not expect the same level of performance in these languages as in English.

To ensure Llama 3 is trained on data of the highest quality, we developed a series of data-filtering pipelines. These pipelines include using heuristic filters, NSFW filters, semantic deduplication approaches, and text classifiers to predict data quality. We found that previous generations of Llama are surprisingly good at identifying high-quality data, hence we used Llama 2 to generate the training data for the text-quality classifiers that are powering Llama 3.

We also performed extensive experiments to evaluate the best ways of mixing data from different sources in our final pretraining dataset. These experiments enabled us to select a data mix that ensures that Llama 3 performs well across use cases including trivia questions, STEM, coding, historical knowledge, etc.

Scaling up pretraining

To effectively leverage our pretraining data in Llama 3 models, we put substantial effort into scaling up pretraining. Specifically, we have developed a series of detailed scaling laws for downstream benchmark evaluations. These scaling laws enable us to select an optimal data mix and to make informed decisions on how to best use our training compute. Importantly, scaling laws allow us to predict the performance of our largest models on key tasks (for example, code generation as evaluated on the HumanEval benchmark—see above) before we actually train the models. This helps us ensure strong performance of our final models across a variety of use cases and capabilities.

We made several new observations on scaling behavior during the development of Llama 3. For example, while the Chinchilla-optimal amount of training compute for an 8B parameter model corresponds to ~200B tokens, we found that model performance continues to improve even after the model is trained on two orders of magnitude more data. Both our 8B and 70B parameter models continued to improve log-linearly after we trained them on up to 15T tokens. Larger models can match the performance of these smaller models with less training compute, but smaller models are generally preferred because they are much more efficient during inference.

To train our largest Llama 3 models, we combined three types of parallelization: data parallelization, model parallelization, and pipeline parallelization. Our most efficient implementation achieves a compute utilization of over 400 TFLOPS per GPU when trained on 16K GPUs simultaneously. We performed training runs on two custom-built 24K GPU clusters . To maximize GPU uptime, we developed an advanced new training stack that automates error detection, handling, and maintenance. We also greatly improved our hardware reliability and detection mechanisms for silent data corruption, and we developed new scalable storage systems that reduce overheads of checkpointing and rollback. Those improvements resulted in an overall effective training time of more than 95%. Combined, these improvements increased the efficiency of Llama 3 training by ~three times compared to Llama 2.

Instruction fine-tuning

To fully unlock the potential of our pretrained models in chat use cases, we innovated on our approach to instruction-tuning as well. Our approach to post-training is a combination of supervised fine-tuning (SFT), rejection sampling, proximal policy optimization (PPO), and direct preference optimization (DPO). The quality of the prompts that are used in SFT and the preference rankings that are used in PPO and DPO has an outsized influence on the performance of aligned models. Some of our biggest improvements in model quality came from carefully curating this data and performing multiple rounds of quality assurance on annotations provided by human annotators.

Learning from preference rankings via PPO and DPO also greatly improved the performance of Llama 3 on reasoning and coding tasks. We found that if you ask a model a reasoning question that it struggles to answer, the model will sometimes produce the right reasoning trace: The model knows how to produce the right answer, but it does not know how to select it. Training on preference rankings enables the model to learn how to select it.

Building with Llama 3

Our vision is to enable developers to customize Llama 3 to support relevant use cases and to make it easier to adopt best practices and improve the open ecosystem. With this release, we’re providing new trust and safety tools including updated components with both Llama Guard 2 and Cybersec Eval 2, and the introduction of Code Shield—an inference time guardrail for filtering insecure code produced by LLMs.

We’ve also co-developed Llama 3 with torchtune , the new PyTorch-native library for easily authoring, fine-tuning, and experimenting with LLMs. torchtune provides memory efficient and hackable training recipes written entirely in PyTorch. The library is integrated with popular platforms such as Hugging Face, Weights & Biases, and EleutherAI and even supports Executorch for enabling efficient inference to be run on a wide variety of mobile and edge devices. For everything from prompt engineering to using Llama 3 with LangChain we have a comprehensive getting started guide and takes you from downloading Llama 3 all the way to deployment at scale within your generative AI application.

A system-level approach to responsibility

We have designed Llama 3 models to be maximally helpful while ensuring an industry leading approach to responsibly deploying them. To achieve this, we have adopted a new, system-level approach to the responsible development and deployment of Llama. We envision Llama models as part of a broader system that puts the developer in the driver’s seat. Llama models will serve as a foundational piece of a system that developers design with their unique end goals in mind.

Instruction fine-tuning also plays a major role in ensuring the safety of our models. Our instruction-fine-tuned models have been red-teamed (tested) for safety through internal and external efforts. ​​Our red teaming approach leverages human experts and automation methods to generate adversarial prompts that try to elicit problematic responses. For instance, we apply comprehensive testing to assess risks of misuse related to Chemical, Biological, Cyber Security, and other risk areas. All of these efforts are iterative and used to inform safety fine-tuning of the models being released. You can read more about our efforts in the model card .

Llama Guard models are meant to be a foundation for prompt and response safety and can easily be fine-tuned to create a new taxonomy depending on application needs. As a starting point, the new Llama Guard 2 uses the recently announced MLCommons taxonomy, in an effort to support the emergence of industry standards in this important area. Additionally, CyberSecEval 2 expands on its predecessor by adding measures of an LLM’s propensity to allow for abuse of its code interpreter, offensive cybersecurity capabilities, and susceptibility to prompt injection attacks (learn more in our technical paper ). Finally, we’re introducing Code Shield which adds support for inference-time filtering of insecure code produced by LLMs. This offers mitigation of risks around insecure code suggestions, code interpreter abuse prevention, and secure command execution.

With the speed at which the generative AI space is moving, we believe an open approach is an important way to bring the ecosystem together and mitigate these potential harms. As part of that, we’re updating our Responsible Use Guide (RUG) that provides a comprehensive guide to responsible development with LLMs. As we outlined in the RUG, we recommend that all inputs and outputs be checked and filtered in accordance with content guidelines appropriate to the application. Additionally, many cloud service providers offer content moderation APIs and other tools for responsible deployment, and we encourage developers to also consider using these options.

Deploying Llama 3 at scale

Llama 3 will soon be available on all major platforms including cloud providers, model API providers, and much more. Llama 3 will be everywhere .

Our benchmarks show the tokenizer offers improved token efficiency, yielding up to 15% fewer tokens compared to Llama 2. Also, Group Query Attention (GQA) now has been added to Llama 3 8B as well. As a result, we observed that despite the model having 1B more parameters compared to Llama 2 7B, the improved tokenizer efficiency and GQA contribute to maintaining the inference efficiency on par with Llama 2 7B.

For examples of how to leverage all of these capabilities, check out Llama Recipes which contains all of our open source code that can be leveraged for everything from fine-tuning to deployment to model evaluation.

What’s next for Llama 3?

The Llama 3 8B and 70B models mark the beginning of what we plan to release for Llama 3. And there’s a lot more to come.

Our largest models are over 400B parameters and, while these models are still training, our team is excited about how they’re trending. Over the coming months, we’ll release multiple models with new capabilities including multimodality, the ability to converse in multiple languages, a much longer context window, and stronger overall capabilities. We will also publish a detailed research paper once we are done training Llama 3.

To give you a sneak preview for where these models are today as they continue training, we thought we could share some snapshots of how our largest LLM model is trending. Please note that this data is based on an early checkpoint of Llama 3 that is still training and these capabilities are not supported as part of the models released today.

We’re committed to the continued growth and development of an open AI ecosystem for releasing our models responsibly. We have long believed that openness leads to better, safer products, faster innovation, and a healthier overall market. This is good for Meta, and it is good for society. We’re taking a community-first approach with Llama 3, and starting today, these models are available on the leading cloud, hosting, and hardware platforms with many more to come.

Try Meta Llama 3 today

We’ve integrated our latest models into Meta AI, which we believe is the world’s leading AI assistant. It’s now built with Llama 3 technology and it’s available in more countries across our apps.

You can use Meta AI on Facebook, Instagram, WhatsApp, Messenger, and the web to get things done, learn, create, and connect with the things that matter to you. You can read more about the Meta AI experience here .

Visit the Llama 3 website to download the models and reference the Getting Started Guide for the latest list of all available platforms.

You’ll also soon be able to test multimodal Meta AI on our Ray-Ban Meta smart glasses.

As always, we look forward to seeing all the amazing products and experiences you will build with Meta Llama 3.

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Position Paper Generator: Free AI-Powered Tool

Looking for ways to improve the quality of your position essays? Want to avoid mistakes and make a flawless position paper on the first try? You’ve come to the right place!

Meet our brand new position paper generator . It’s a groundbreaking free tool that will help you to complete your academic assignment quickly and effectively. It’s an absolute must-have app for students.

• ✨ How to Use
• 🔥 Benefits of Our Tool
• 🛠️ How Does Our Generator's AI Work?
• ️✍️ How to Write a Position Paper

🔗 References

✨ how to use our free position paper generator.

• Type in your topic.
• Set the desired size of the essay.
• Click the “Generate” button to get a position paper sample.

🔥 Benefits of Our Position Paper Generator

Among numerous tools you can find online, our generator is a standout. Here are its most prominent advantages:

🛠️ How Does Our Position Paper Generator's AI Work?

Our position paper generator is based on a generative AI . Such technology analyzes enormous volumes of textual data using Large Language Models (LLMs) that can create sentences by predicting which words might come after one another.

LLMs can create human-like texts of any type, including position papers. Our tool will automatically create a perfect prompt for this cutting-edge AI and help you get the best possible answer. Try it out and see for yourself!

📑 What Is a Position Paper?

A position paper is a type of academic writing in which you use facts, figures, and other relevant data to support your stance on a certain subject. Position papers are often written on government, law, science, and medicine topics.

Unlike other essay types that express an opinion, this genre of academic writing focuses on positions held by individuals, organizations, and groups. Such papers also aim to persuade the audience to agree with the described position.

Main Features of a Position Paper

Position papers have unique features that distinguish them from other essay types. A position paper must include the following:

• A well-defined issue at its core. The topic you choose must be debatable as well as controversial . Even if the issue is complicated, it needs to be presented clearly. This way, the readers will know exactly why the problem matters.
• A clear position on the matter. Introduce your viewpoint in your position paper’s thesis statement. You can reiterate it throughout your essay – for example, in the conclusion.
• Convincing arguments. A position paper must offer a justification to support the validity of the opinion it expresses. Your argument should convince readers to agree with you and adopt your viewpoint.
• Reasonable tone. The goal of a position paper is to create connections between your ideas and those of others. That's why such essays are usually written in a tone that is viewed as trustworthy and reasonable.

✍️ How to Write a Position Paper Step by Step

Now that you know what makes an excellent position paper, let’s see how to write one. The handy guide below will help you with it. And if you need inspiration or a model paper, feel free to use our generator.

Your topic and stance on it need to stand up to criticism. That's why we recommend you do some research and choose something you can defend convincingly.

Your success depends on your ability to present a compelling and logical argument , regardless of how basic or complex your topic is.

To determine whether you can make a compelling case on your chosen topic, answer the following questions:

• Is this a real problem that is genuinely controversial and topical?
• Can you distinguish between the different positions on the issue?
• Do you personally want to support any of these positions?
• Is the problem specific enough to be handled?

If your answer to all questions is "yes," congratulations – your topic is perfect! You can now move on to the next step.

Even if you already have a strong opinion about the subject and know which side of the dispute you want to take, you still need to ensure that your stance is well-supported. That's why we recommend you learn as much as possible about the issue you're discussing. To locate expert studies and data, visit your college library or look through reliable websites , such as those associated with education and government.

Once you’ve collected enough information, you can make an informed opinion on your topic. To assess all possible positions, outline the pros and cons of the subject and put together a list of evidence for each side. If your preferred position is inconsistent with the facts, don’t hesitate to rethink it or choose a different side.

A position paper's thesis statement (AKA statement of position) is its main framework. Make it powerful, and your essay will be a success.

To write a good statement of position, do the following:

• Address the issue you're discussing.
• Clearly assert your stance.
• Give a brief overview of the reasons you will give to support your position.
• Mention the counterarguments you’re going to refute.

Try to make the statement as concise and unambiguous as possible.

Creating a sample paper on your topic with the help of our tool will provide you with a well-formulated thesis statement you can use as inspiration.

Now, you can start writing your paper. Here’s how to do it:

• Start with the introduction . In the opening paragraph, you provide some background information and state your position.
• Write the main body. This is where you defend your stance and disprove other viewpoints. Make sure to support your arguments with substantial evidence.
• Restate your position in the conclusion . Briefly summarize how all of your arguments support your opinion. To cap it all off, write a solid call to action.

And that’s it! You’re all set to write an A+ essay. Our free position paper generator will help you streamline the process: try it and have fun!

Need to write an article review quickly and efficiently? Use our free article critique generator to ace this task.

• Position Paper: Colorado State University
• Writing a Position Paper: Rutgers Computer Science
• How to Write a Position Paper in 7 Steps (With a Template): Indeed
• 5 Steps to Writing a Position Paper: ThoughtCo
• How to Write a Position Paper, with Examples: Grammarly