research paper generator ai

World’s #1 Research Paper Generator

Over 5,000 research papers generated daily

Have an AI Research and write your Paper in just 5 words

See it for yourself: get your free research paper started with just 5 words, how smodin makes research paper writing easy, instantly find sources for any sentence.

Our AI research tool in the research paper editor interface makes it easy to find a source or fact check any piece of text on the web. It will find you the most relevant or related piece of information and the source it came from. You can quickly add that reference to your document references with just a click of a button. We also provide other modes for research such as “find support statistics”, “find supporting arguments”, “find useful information”, and other research methods to make finding the information you need a breeze. Make research paper writing and research easy with our AI research assistant.

Easily Cite References

Our research paper generator makes citing references in MLA and APA styles for web sources and references an easy task. The research paper writer works by first identifying the primary elements in each source, such as the author, title, publication date, and URL, and then organizing them in the correct format required by the chosen citation style. This ensures that the references are accurate, complete, and consistent. The product provides helpful tools to generate citations and bibliographies in the appropriate style, making it easier for you to document your sources and avoid plagiarism. Whether you’re a student or a professional writer, our research paper generator saves you time and effort in the citation process, allowing you to focus on the content of your work.

Free AI Research Paper Generator & Writer - Say Goodbye to Writer's Block!

Are you struggling with writer's block? Even more so when it comes to your research papers. Do you want to write a paper that excels, but can't seem to find the inspiration to do so? Say goodbye to writer's block with Smodin’s Free AI Research Paper Generator & Writer!

Smodin’s AI-powered tool generates high-quality research papers by analyzing millions of papers and using advanced algorithms to create unique content. All you need to do is input your topic, and Smodin’s Research Paper generator will provide you with a well-written paper in no time.

Why Use Smodin Free AI Research Paper Generator & Writer?

Writing a research paper can be a complicated task, even more so when you have limited time and resources. A research paper generator can help you streamline the process, by quickly finding and organizing relevant sources. With Smodin's research paper generator, you can produce high-quality papers in minutes, giving you more time to focus on analysis and writing

Benefits of Smodin’s Free Research Paper Generator

• Save Time: Smodin AI-powered generator saves you time by providing you with a well-written paper that you can edit and submit.
• Quality Content: Smodin uses advanced algorithms to analyze millions of papers to ensure that the content is of the highest quality.
• Easy to Use: Smodin is easy to use, even if you're not familiar with the topic. It is perfect for students, researchers, and professionals who want to create high-quality content.

How to Write a Research Paper?

All you need is an abstract or a title, and Smodin’s AI-powered software will quickly find sources for any topic or subject you need. With Smodin, you can easily produce multiple sections, including the introduction, discussion, and conclusion, saving you valuable time and effort.

Who can write a Research Paper?

Everyone can! Smodin's research paper generator is perfect for students, researchers, and anyone else who needs to produce high-quality research papers quickly and efficiently. Whether you're struggling with writer's block or simply don't have the time to conduct extensive research, Smodin can help you achieve your goals.

Tips for Using Smodin's Research Paper Generator

With our user-friendly interface and advanced AI algorithms, you can trust Smodin's paper writer to deliver accurate and reliable results every time. While Smodin's research paper generator is designed to be easy to use, there are a few tips you can follow to get the most out of Smodinl. First, be sure to input a clear and concise abstract or title to ensure accurate results. Second, review and edit the generated paper to ensure it meets your specific requirements and style. And finally, use the generated paper as a starting point for your research and writing, or to continue generating text.

Research Paper Generator by AcademicHelp

Key Features of Our AI Research Paper Generator

Smooth writing

Diverse academic standards

Full accessibility

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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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.
• 🎙 AI Text to Voice/Speech: Transform text into engaging audio content.
• 🎵 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.
• 🎥 AI Text to Video: Convert text scripts into captivating video content.
• 🔍 AI Image to Text with Context Understanding: Not only extract text from images but also understand the context of the visual content. For example, if a user uploads an image of a teddy bear, AI will recognize it as such.
• 🔀 AI Image to Video: Turn images into dynamic videos with contextual understanding.
• 📸 AI Professional Headshots: Generate professional-quality avatars or profile photos with AI.
• ✂ AI Image Editor, Resizer and Compressor, Upscale: Enhance, optimize, and upscale your images with AI-powered tools.
• 🎼 AI Music to Music: Enhance or transform existing music tracks by inputting an audio file. AI analyzes your music and generates a continuation or variation, offering a new twist on your original piece.
• 🗣 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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Supercharge Your Next Research Paper

Jenni's AI-powered text editor helps you write, edit, and cite with confidence. Save hours on your next paper.

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Features built to enhance your research and writing capabilities

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Exploring the Role of Neural Networks in Natural Language Processing: A Comprehensive Survey

Bahr LS, Bock M, Liebscher D, Bellmann-Strobl J, Franz L, Prüß A et al.

Nature Science

Interactions between the ribosomal exit tunnel and the nascent peptide can affect translation elongation rates. While previous studies have already demonstrated the feasibility of such interactions, little is known about the nature ... See more

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A Multiclassifier-based Near-Real-Time Face Detection System

H. Wu and J. Zelek

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In-text Citations

Jenni consults the latest research and your PDF uploads. Cite in APA, MLA, IEEE, Chicago, or Harvard style

AI Autocomplete

Autocomplete will write alongside you to beat writer's block whenever you need a helping hand

What was the research methodology used in the paper

Research through design as a method for interaction design research in HCI

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Quickly understand and summarize your research papers with our AI chat assistant

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Paraphrase any text in any tone. Rewrite the internet customized to you

Bulk Import Sources via .bib

Already saved papers ready to cite? Import a .bib to populate your library in seconds

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Export your draft to LaTeX, .docx, or HTML without any formatting loss

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Enter your prompt and get a list of section headings ready for you to flesh out

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Jenni can generate in US or British English, Spanish, German, French, or Chinese

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Jenni has helped write over 970 million words. From academic essays, journals, to top-ranking blog posts

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I started with Jenni-who & Jenni-what. But now I can't write without Jenni. I love Jenni AI and am amazed to see how far Jenni has come. Kudos to Jenni.AI team

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This one is a game changer, Doc, especially on that small matter of lacking words or writer's block. I am definitely introducing it to my students asap.

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I thought ChatGPT was a good writing assistant. But when I found Jenni AI - It blew my mind. It's 10x more advanced than I thought.

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I thought AI writing was useless. Then I found Jenni AI. It turned out to be much more advanced than I ever could have imagined. Jenni AI = ChatGPT x 10.

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The #1 AI Research Tool for Students, Teachers, Scholars, and those in Academia

Generate study guides, outlines, research topics, key findings, hypotheses, and exam questions in seconds..

Streamline your planning and preparation with the top AI-generated answers for your specific academic field.

How Research Panda Works

1. pick the research template, 2. fill out the form in less than 2 minutes, 3. generate your academic content.

Save Hours and Days of Research Work

What You Get

Topic and idea selection.

Retrieve topics and subtopics, a longside possible ideas to e nforce and expand upon. Simplify and expand any topic or subtopic of reference.

Brainstorm and Outline Build

Have a thought flow built out s o you’re not mentally stuck. C reate a concrete outline and structure f or your research paper.

Research Questions, Gaps, and Hypothesis Generator

Based on a topic and keywords, g et a list of questions, gaps in research, a nd possible hypotheses t o utilize.

Methodology and Techniques Creator

Explain how the qualitative or quantitive approach  can be used to address the topic. Get the top data collection practices.

Research Paper and Article Locator

Literature Review – Based on a given topic and keywords, p roduce articles for reference.

Summary and Analysis Generator

Get the main arguments and key findings  of a given text. Describe the theoretical framework and methodology used.

Personal Study Guide and Plan Build

Create a step-by-step c omprehensive guide and plan b ased on y our timeframe to study.

Exam Preparation Creator

Generate multiple choice questions based on your given research topic

…ranging in various difficulties.

Book Summarizer

Give the title and author. Condense books into concise and comprehensive summaries for effortless learning.

Lesson Plan Generator

Structured lesson plans for any subject, idea, course, or concept. Just plug in the topic and grade level. AI will provide the rest.

Educational Handout Writer

Efficiently create comprehensive handouts encompassing all the essential information about a particular topic, concept, or subject area for both yourself and a student.

Gaps in Understanding Identifier

Provide your own understanding of a given topic, idea, or concept. An analysis will take place pointing out the gaps in knowledge of the said topic.

Bonus #1: The Quick Learner

Pick the topic, keywords, and main points you want to focus on and learn about. Be broad or specific as need be. Use the 80/20 principle to learn faster than ever.

Bonus #2: The Proofreader

Improvise your writing. Proofread, correct, and get tailored feedback to what you need to do to better your writing. This detailed feedback will give you the steps needed to take next.

Bonus #3: The Detailer

Completely understand a topic, idea, or research point. Have a concept broken down to have a strong mental grasp on it, being able to speak and write on it intelligently.

Why Research Panda?

Enhance your planning and preparation process through the power of comprehensive AI. Discover streamlined templates for study guides and receive tailored writing prompts and answers for each section of your paper that cater to your specific academic field. Research Panda was built for the academic .

Pick a Plan

Optimize your research and writing, get all the ai research tools, built for students, teachers, scholars, and academics.

1. Topic Selection and

Idea Generator

2. Brainstorm and Outline Generator

3. Research Questions, Research Gaps,

and Hypothesis Generator

4. Methodology and Technique Generator

5. Research Paper

and Article Locator Generator

6. Summary and Analysis Generator

7. Study Guide and Plan Generator

8. Exam Preparation Generator

Research Panda works for education levels ranging from high school students to doctoral academics. Nevertheless, it is for any academic looking to further their research in any given field.

Research Panda is capable of generating educational guides, study plans, academic content, and much more. If you can think it, Research Panda can create it. This includes materials related to mathematics, English Language Arts (reading, writing, grammar), science (biology, chemistry, physics), social Studies (history, geography, civics, economics), computer science, political science, and any subject you work in.

To use Research Panda, simply click one of the membership options above to “Try for 3 Days Free” to access the sign up page. From there, you can give Research Panda detailed instructions using any of the 8+ premium AI tools. Once you’ve generated your first AI content, go ahead and edit it to your liking, and copy it for your research use.

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There’s more to academic writing than simply knowing what to write. But delivering a strong, well-written manuscript is not easy and even ground-breaking research papers risk desk rejection because they are hard to follow or because of avoidable errors like poor grammar, spelling, and punctuation. By the time you finish the first draft, you would have already invested a significant amount of time and effort in communicating your findings accurately. This is then followed by multiple rounds of editing and research paper grammar checks to refine your work for submission, which can delay the publication of possibly time-sensitive results. Although academic writing isn’t easy, scientific writing tools for researchers powered by artificial intelligence and machine learning are transforming the experience. Paperpal for Word for instance provides real-time suggestions to improve your grammar, spelling, punctuation, clarity and structure, empowering you to enhance and speed up the writing process from the first draft itself.

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It’s not just academic writing, but high-quality English language editing plays a key role in improving your writing style and ensuring clarity. Finding an online tool that acts as a basic spelling, grammar, and sentence corrector is straightforward, but finding thesis writing and scientific editing tools that are tailored for researchers and academic writing is not so easy. There is a need for precise scientific editing, which includes accurate research paper grammar checks, using the right language, understanding and applying the necessary academic writing conventions, and getting the style and structure right. This is where Paperpal can help. In a 2022 University of Cambridge study of seven English editing tools for researchers, Paperpal stood out as the preferred English editing and scientific writing tool for researchers. It suggested a high number of accepted edits, providing alternative words and phrases that were in line with those made by human editors to enhance the language and readability of text. Paperpal was also the simpler tool for researchers to use for editing and research paper grammar checks.

Streamlines journal submissions with comprehensive checks

Imagine if after all the work you put in preparing your manuscript for submission, you’re rejected because it fails the basic technical checks. Being rejected for avoidable snags like a missing conflict of interest statement or ethics statement is not only disappointing, it further delays research publication. Most journals have a core set of submission requirements that need to be followed in order for a manuscript to be considered. But with so many things to check and do, researchers often stumble at this stage. This is where Paperpal for Manuscript, which checks your research paper across key language and technical parameters, is the perfect tool for researchers to check their submission readiness. Upload your ready manuscript and for just $29 you can download a Word file with all the suggestions included in mark-ups or comments. Accept or reject suggestions with a few clicks, and recheck your work unlimited times to create the best version of your manuscript. Premium editing has never been simpler.

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Paperpal for Word is a thesis writing and scientific editing tool for researchers who want to polish their academic writing as they work. The plugin is easy to install and use, making it a great tool for researchers to consistently deliver high-quality academic writing. If you don’t want to commit to the Word add-in, you can explore Paperpal for Web, a robust research paper writing tool that has an in-built grammar checker for scientific writing. All you need to do is write, paste or even upload your academic text into your web browser to get instant suggestions on how to fix your language and grammar. Once you’re ready to submit, take this up a notch with Paperpal for Manuscript. With instant checks for disclosures, figures and/or tables, word counts, references, language, structure, and much more, this secure and trusted academic research tool should be part of every researcher’s pre-submission kit.

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Levelling the playing field for researchers

English has long been established as the language of academic publications. And even then, different journals prefer a specific variation, such as British or American English. While this can trip up even native English-speaking researchers, it makes the task of creating a compelling high-quality manuscript for publication even more challenging for those with English as a second language. Paperpal’s AI-powered research paper grammar check and scientific writing tools were built with a vision to democratize scholarly publishing by ensuring your academic writing meets the highest publication standards. Where you are in the world doesn’t matter. We’re part of an academic writing revolution that empowers anyone, anywhere to polish their academic writing skills with access to our precise research paper writing tools for researchers. Paperpal differentiates between British and American English and offers appropriate suggestions in terms of spellings, vocabulary, pronunciation, and grammar. Moreover, our AI is trained on millions of corrections made by professional editors across 1,300 subject areas, which means you get tailored suggestions to enhance your research writing and boost your chance of publication success.

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Research Paper Outline Generator

🤖 research outline generator 101.

• 📝 Template & Format
• 🤩 Outline Tips

🔗 References

Outlining an academic assignment serves several purposes:

• It lets students establish connections between the thesis and their ideas.
• A template also allows them to structure papers and identify gaps in their knowledge.
• An outline makes their writing more substantial and lets them know if they understand the topic well enough.

Our outline generator for research papers speeds up this process in several ways:

📝 Outline Generator for Research Paper: Template and Format

Our tool can help you cope with the first step in any academic work, whether it's a high school or college tasks. But what should you do next? This part of the article details the components of the research paper format. It will give you a better understanding of how your work should look.

Popular Academic Formats

The format of your research paper largely depends on the style your school uses. Three main styles are widely used in the academic setting: APA, Chicago, and MLA. Each has its features we’ll discuss briefly.

Good Example of a Template

In this section, we have detailed all the components of a comprehensive research paper. Knowing these elements will make it easy for you to structure your work.

🤩 Best Outline Tips: Research Papers & Academic Essays

We want to wrap things up by offering helpful tips for an effective outline. It doesn’t matter if you’re writing an academic essay, a research work, or a personal statement. These pieces of advice can be helpful in all types of assignments.

• Plan and brainstorm . Make a list of ideas that can become good topics for your essay. By the way, having study buddies is also a fantastic idea! Try to brainstorm topics with fellow students. This way, you can better plan and find impactful research subjects.
• Organize your ideas . Next, organize the ideas into separate categories. Discard bad ones and incorporate good ones in your writing. Narrow them down until you choose the main one to write a good thesis statement.
• Use bullet points . Utilize a list format to keep your outline organized. Use headings to easily navigate the template and structure the paper logically.
• Use online tools . If you need help, turn to online platforms for assistance. For example, our research paper outline generator can make this process faster.
• Write in your mother tongue . If you struggle writing in English , make notes in your native language. It’s also better to research this topic in your mother tongue. You can translate your findings later.
• Remove redundant points . Revise all the paragraphs of your finished essay template. Make sure that all the sections match the purpose of your paper and reveal the main idea. If you find too many inappropriate points, try rephrasing them to fit the topic.

We hope that our outline generator for research papers helped in your work. If you have any questions left, check out the FAQ section below. Besides we also recommend you take a look at our research guide .

❓ Research Outline Generator – FAQ

Updated: Dec 14th, 2023

• Writing a Research Paper. – Arrendale Library, Piedmont University
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• How To Write a Research Paper Outline (With Examples and Tips) – Indeed
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• Formatting an Academic Paper – Augsburg University
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Learn everything there is to know about our awesome research paper outline generator. This instrument is guaranteed to save you lots of time and energy by creating the perfect plan for your assignment in seconds. Simply set the parameters and get to writing!

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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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Organize your reading lists into different projects and maintain the context of your research.

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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

Our approach

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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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