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GPT Essay Checker for Students

How to Interpret the Result of AI Detection

To use our GPT checker, you won’t need to do any preparation work!

Take the 3 steps:

• Copy and paste the text you want to be analyzed,
• Click the button,
• Follow the prompts to interpret the result.

Our AI detector doesn’t give a definitive answer. It’s only a free beta test that will be improved later. For now, it provides a preliminary conclusion and analyzes the provided text, implementing the color-coding system that you can see above the analysis.

It is you who decides whether the text is written by a human or AI:

• Your text was likely generated by an AI if it is mostly red with some orange words. This means that the word choice of the whole document is nowhere near unique or unpredictable.
• Your text looks unique and human-made if our GPT essay checker adds plenty of orange, green, and blue to the color palette.
• 🔮 The Tool’s Benefits

🤖 Will AI Replace Human Writers?

✅ ai in essay writing.

• 🕵 How do GPT checkers work?

🔗 References

🔮 gpt checker for essays: 5 key benefits.

People have yet to learn where AI and machine learning are taking us, but it has already caused many problems in the education system. This AI essay detector can resolve some of them, at least as of the moment.

There are 5 key benefits of the above GPT checker for essays and other academic writing projects.

Elon Musk, one of Chat GPT creators, said that it was “scary good” and that humanity is approaching the creation of “dangerously strong AI.”

In an interview , Bill Gates commented on the program: “It gives a glimpse of what is to come. I am impressed with this whole approach and the rate of innovation.” And these words give us goosebumps.

Over the first week of its functioning, the program exceeded 1 million users . Therefore, developers are interested in monetizing it, and launching a paid Beta-version won’t take long.

We prefer not to throw out compliments to the chatbot and instead let you check for yourself . It is a chat with AI. The best way to start is to ask a question. It is free so far (still under research), so you can ask as many questions as you please.

We should care about AI-generated content because, in a decade, it will be an everyday reality. Even more so, it is a hot-button issue now. For now, GPT 3 can’t replace human writers. However, AI essay detection has already become an issue for teachers.

You can try asking ChatGPT to write an essay for you. But we do not recommend pass it off as written by you. Not only because it's unethical (although it is). The fact is that ChatGPT has a number of drawbacks that you need to consider before using it.

Chat GPT in Essay Writing – the Shortcomings

• The tool doesn’t know anything about what happened after 2021. Novel history is not its strong side. Sometimes it needs to be corrected about earlier events. For instance, request information about Heathrow Terminal 1 . The program will tell you it is functioning, although it has been closed since 2015.
• The reliability of answers is questionable. AI takes information from the web which abounds in fake news, bias, and conspiracy theories.
• References also need to be checked. The links that the tool generates are sometimes incorrect, and sometimes even fake.
• Two AI generated essays on the same topic can be very similar. Although a plagiarism checker will likely consider the texts original, your teacher will easily see the same structure and arguments.
• Chat GPT essay detectors are being actively developed now. Traditional plagiarism checkers are not good at finding texts made by ChatGPT. But this does not mean that an AI-generated piece cannot be detected at all.

🕵 How Do GPT Checkers Work?

An AI-generated text is too predictable. Its creation is based on the word frequency in each particular case.

Thus, its strong side (being life-like) makes it easily discernible for ChatGPT detectors.

Once again, conventional anti-plagiarism essay checkers won’t work there merely because this writing features originality. Meanwhile, it will be too similar to hundreds of other texts covering the same topic.

Here’s an everyday example. Two people give birth to a baby. When kids become adults, they are very much like their parents. But can we tell this particular human is a child of the other two humans? No, if we cannot make a genetic test. This GPT essay checker is a paternity test for written content.

❓ GPT Essay Checker FAQ

Updated: Oct 25th, 2023

• Abstracts written by ChatGPT fool scientists - Nature
• How to... use ChatGPT to boost your writing
• Will ChatGPT Kill the Student Essay? - The Atlantic
• ChatGPT: how to use the AI chatbot taking over the world
• Overview of ChatGPT - Technology Hits - Medium
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This page contains a free online GPT checker for essays and other academic writing projects. Being based on the brand-new technology, this AI essay detector is much more effective than traditional plagiarism checkers. With this AI checker, you’ll easily find out if an academic writing piece was written by a human or a chatbot. We provide a comprehensive guide on how to interpret the results of analysis. It is up to you to draw your own conclusions.

AI Essay Checker

Take your writing to the next level with our free AI Essay Checker. Refine your grammar, fix common spelling mistakes, and detect AI content and plagiarism all with the push of a button.

Max 2000 Words is allowed.

Probability Score

Plagiarized

Join  thousands  of users who have used essay check to refine their writing, remove plagiarism and eliminate ai content with 100% accuracy..

High School Teacher

Upholding Academic Integrity: The Essential Role of Essay Check for English Teachers

“ Being an English teacher, maintaining academic integrity is paramount. Essay Check has become an indispensable tool in my classroom. It not only aids in detecting plagiarism but also identifies any AI-generated content seamlessly. With its user-friendly interface, Essay Check empowers me to uphold academic honesty effortlessly ”

Content Creator

Content Creation Revolution

“Essay Check transforms my online content creation, ensuring authenticity and originality in scripts and blog posts. It eliminates AI-generated content, empowering me to confidently engage my audience!”

SEO Specialist

Such a life-changing experience. Highly recommended!

“In the competitive world of SEO, Essay Check has truly become my trusted ally. By meticulously ensuring that my content is devoid of any plagiarism or AI-generated elements, it not only maintains but elevates the quality and integrity of my work. This invaluable tool has enabled me to consistently deliver top-notch content, leading to tangible improvements in my clients’ website rankings. With Essay Check by my side, I feel confident in my ability to navigate the competitive landscape of SEO and drive lasting success for my clients.!”

College Student

An overall wonderful and excellent experience

“”Essay Check makes my essays better and original. It catches mistakes check AI content and stops copying so I get good grades.”!”

Patrick Abrams

Transformative Content Creation with Essay Check

“ Essay Check has revolutionized the way I create content for my online platforms. As a content creator, authenticity is everything. This incredible tool not only helps me maintain originality in my scripts and blog posts but also ensures there’s no trace of AI-generated content. With Essay Check, I can confidently produce content that resonates with my audience! ”

Get Rid of Spelling Errors

Once you paste your text into Essay Check, it will identify potential spelling errors and offer suggestions. If our tool flags a word that’s spelled correctly, just select the “Ignore All” option!

Want to check if images were created by a machine? Check out our AI image detector.

Human Quality Output

Ai checker + generative ai.

Get unlimited access to the AI Detector pro version along with our Generative AI suite that gives you human level output for just $49!

Unlimited AI detection scans

Unleash the power of the premium AI Checker with unlimited AI detection scans. With up to 50k characters allowed per scan, you can check most types of written content with ease.

Rewrite robotic-sounding content with a click

Use the human-quality rewriter of the premium AI Detector to instantly humanize AI-generated text.

Personalized to your Unique Voice

Generate blogs, books, essays, and more in your own voice with the combination of our fine-tuned models. Then, edit your output easily in the built-in professional editor.

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Monthly Stats for the ChatGPT Detector.

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AI Essay Checker by AcademicHelp

Academic integrity ai checker.

Online AI content detector

AI checker for research papers

Plagiarism checker for AI

High-quality ai essay checker.

Even though technology is moving forward, finding a good and free AI checker essay tool is still hard. As these detectors move forward and advance, so does the field of generative AI. Yet, AcademicHelp found its own solution – a service that can quickly scan through documents and determine AI levels with low false positive and negative rates.

The Reasons to Check Essay for AI

Both teachers and students can benefit from a timely check if essay was written by AI. As a student, checking your essays for AI can help ensure that your work is original and personal. It can help you avoid accidental plagiarism or accusations of reliance on AI-generated content. For teachers, AI detectors can also be a valuable addition to the toolkit, since it helps in maintaining academic integrity. They can use these tools to verify that students submit their own work rather than AI-generated nonsense.

Among the major benefits of AI checkers’ assistance include preventing academic dishonesty, encouraging original thinking, and improving the quality of education. By detecting AI-generated content early, students and teachers can address any issues before they become serious problems. This proactive approach can lead to a more honest and productive learning environment, where the produced work is genuine and reflective of the individual’s thoughts and efforts.

AI Generated Essay Checker: Quick Usage Guide

Academichelp free AI Essay Checker provides a straightforward approach to AI detection. First, you need to register on our platform to create your account. Then, all you need is your document. Our tool supports the upload of various file types: from pdf to, DOC, as well as rtf and odt files. You can also just insert the text into the platform’s field if that works for you.

After that, you just press the “Detect AI Content” button and wait for the results. When everything’s ready, you will receive the general percentage of AI-generated content spotted in your work. Aside from that, you will also see a breakdown of which parts have a lower and higher likelihood of being created by AI. 

Remember, our tool can accessed for free and you will be able to do three checks a day like that. You can also opt for one of our subscription plans if you are interested in long-term assistance or in case you are planning on checking a couple of documents.

Tips for Working with AI Paper Checker

We all know how these AI detectors work: you upload or copy-paste your work into the tool, the algorithms run their check, and you receive the percentage of AI-generated content detected in your work. Yet, there are a few tricks that can make the checking process more effective and lead to more accurate results.

• Use Multiple Checkers – Don’t rely on just one AI checker. Use different tools to cross-check results and get a more accurate assessment. You can work with Academichelp AI Essay Checker at first and then run the same text through another platform for verification.
• Analyze Writing Style – Pay attention to the writing style of the paper. You will see that AI-generated content often lacks a personal touch or voice. If the style seems too uniform or lacks depth, it might be AI-generated.
• Check for Logical Flow – Most of the time, AI struggles with maintaining a consistent logical flow. Examine the paper for any sudden jumps in logic or disjointed arguments.
• Look for Repetition – AI-generated content may repeat certain phrases or ideas. This is actually one of the aspects by which AI detectors recognize such content. So, you can also look for patterns of repetition that seem unnatural.
• Test for Understanding – If you suspect a section is AI-generated, you can either run this specific section through AI Essay Checker or try rephrasing the question or statement. You can then see if the response still makes sense. AI might struggle with nuanced changes.
• Examine Citations – Check the references and citations. Content created by artificial intelligence might cite sources that are irrelevant or nonexistent. This can also be checked by an AI Detector though.

Don’t forget that you can also check the document part by part to identify specifically problematic places in writing. Overall, with the help of these tips, you can enhance the effectiveness of AI paper checkers and ensure that your or your students’ writing is original and of high quality.

AI-generated content scanner

How do you check if an AI wrote an essay?

To quickly check if an AI wrote an essay (either yours or somebody else’s), you can use AI detection tools like GPTZero, OpenAI's AI Text Classifier, or AI Essay Checker by AcademicHelp. These tools use special algorithms that recognize writing patterns, consistency, and other linguistic features to determine if the content is likely generated by AI.

Are AI essay detectors accurate?

Even though AI essay detectors are continually improving, for now, they are not 100% accurate. They can approximately pinpoint whether a text is AI-generated, but there may be false positives or negatives. Mostly, the accuracy of these services depends on the complexity of the AI model used and the sophistication of the detection tool.

Can teachers tell if an essay was written by AI?

Teachers might be able to suspect if an essay was written by AI based on a few characteristics such as unnatural language patterns, lack of personal voice, or inconsistencies in writing style. Nonetheless, without the help of specialized detection tools, it can be challenging for them to definitively tell if an essay was written by AI. That’s why a lot of teachers now use AI Detectors as special assistance in their work.

Can schools detect AI writing?

Yes, schools can detect AI writing by using AI detection software as part of their plagiarism and academic integrity checks. These tools, like AacdemicHelp’s AI Essay Checker, can help find out whether a piece of writing submitted by a student has characteristics typical of AI-generated content.

Do colleges use AI detectors?

Certainly, today, many colleges and universities are using AI detectors as part of their academic integrity measures. They may employ these tools to make sure that students' work is original and to maintain the integrity of their academic programs. Some of the most popular platforms used by institutions are Turnitin, OpenAI's AI Text Classifier, and GPTZero. Yet, it is worth noting that some institutions chose to abandon these practices altogether because of the high false positive rates of this technology.

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AI Essay Checker

Need an AI checker for an essay or research paper? Try the smart tool we’ve made! With it, you’ll easily find ChatGPT-generated fragments in a piece of academic writing.

Interpreting the Results

After you click “Analyze,” the AI essay checker will provide you with you a histogram and a detailed text analysis.

The histogram shows the shares of words depending on how likely an AI writer would utilize them while generating a text on a similar topic. All the words in the text are divided into 4 categories:

• Red – the top 10 words that an AI writer would use to create a text on a given topic; many red words indicate that an essay is likely AI-generated.
• Orange – the top 100 words that a GPT tool would use.
• Green – the top 1000 words that an AI tool would utilize to generate a text on a similar topic.
• Violet – the least predictable words that a GPT writer would almost never use.

You will find a detailed text analysis under the histogram. All the words in it are highlighted according to the above-described groups. You can click on each word to see how likely it is to appear in AI-written texts and check its most common alternatives.

A human-written essay will be highlighted primarily in green, orange, and violet. In contrast, an AI-generated paper will consist of red and orange words.

• ✅ The Benefits of the Tool
• 💬 GPT-3 101
• 📑 AI-Generated Texts: Ethical Issues
• ❓ AI Finder FAQ

🔗 References

✅ ai text finder: the 4 benefits, 🕵️ ai essay checker: how it works.

• Insert your text (up to 4500 characters).
• Add the title or short description (up to 250 characters), optional.
• Click the button.
• Get a detailed analysis of the text for free.

The AI text finder employs the same algorithm used for text generation. I.e., it analyzes the predictability of each next word in a sentence. The more predictable they are, the more likely the text is AI-generated.

We, humans, tend to be less predictable in our expressions. We joke and make incoherent conclusions. But meanwhile, we can produce something that has never existed. AI can only generate a combination of phrases and facts from an extensive list of resources (human-written, by the way).

💬 Chat GPT: the Technology behind It

ChatGPT is a novel software product based on GPT-3 (Generative Pre-trained Transformer). It uses natural language processing ( NLP ) to hold realistic and meaningful conversations with people. But that’s not its only feature.

This AI can generate fictional stories, poems, academic papers , and even computer code.

But most importantly, the chatbot can answer specific queries. For example, you were assigned to explain the difference between liberalism and socialism. You enter the question in the respective field and get a correct (and unique) answer in seconds.

Yes, the instrument provides fast and straightforward answers to any possible questions. But no, you won’t develop critical thinking, problem-solving, and other skills essential for academic and real-life success. That’s why ChatGPT has been banned in many American schools , and its use can undermine your reputation. That’s also why AI generator checkers are being developed very intensively.

Natural Language Processing

A simple explanation: NLP or natural language processing is a way to teach machines to communicate with humans. Please don’t confuse it with the notoriously known neuro-linguistic programming.

A complicated but informative explanation: NLP is an interdisciplinary AI and computer linguistics approach. It tackles the problems software faces during the analysis and synthesis of natural languages (i.e., spoken by people). The method studies voice and text information to generate human-like answers.

NLP applications:

• Speech recognition: The good old speech-to-text. “Which witch switched the Swiss wristwatches?”
• Disambiguation between same words with a different meaning. “Nothing is impossible. But I do nothing every day.”
• Parts of speech differentiation: Where are the subject, object, and predicate? “I’ll google it in Google.”
• Named early recognition (NEM) explains why some people and are called so, not otherwise. “I’ve already told you my mother’s name is Sarah! She hates being called a “mom.”
• Emotion analysis: Irony is priceless but was incomprehensible for machines before NLP. “Light is faster than sound. So, some people may appear bright before they talk.”
• Co-reference resolution: ♫♪ “She’d not been two weeks from shore when down on her a right whale bore.” “She” is the ship, not a girl.
• Natural language generator is the opposite of the good old speech-to-text, as the computer pretends to be human.

GPT-3 & Its Predecessors

Today, GPT-3 is the fastest-growing AI product, but its first developments date back to 2010 . It was the time when Natural Language Processing stated using artificial neural networks.

Meanwhile, the mechanism of GPT-3 does not differ much from its predecessors . All of them predicted each next word within a given sentence. But the number of neural network parameters kept growing. Thus, early versions with few parameters were rigid and non-user-friendly. Later releases become more flexible and adjustable.

The recent attention to the software product is so ardent due to the success of GPT-3.

📑 AI-Generated Essays: Ethical Issues

ChatGPT has raised much concern among researchers, professors, and businesspeople. In particular, they claimed it to be:

• A form of cheating to accelerate homework writing;
• A way to produce a lot of content of questionable quality.

Proponents of the AI tool say that teachers feared that Google could assist students’ cheating. But adaptability is the trait that allowed us to become the most developed creature on Earth. Google revolutionized how we search for information, and AI will revolutionize how we produce and consume content.

But before that happens, you should check your writing in Chat GPT finder.

❓ AI Essay Finder FAQ

❓ what does ai generated text look like.

A text generated by AI is highly predictable. It uses the most standard and recognizable expressions to make the writing more human-like. In the meantime, such AI speech generators as Chat GPT produce impeccable texts that are not so easily detectable. To do so, you’ll need an online AI generated text finder.

❓ How To Generate Text Using AI?

The specific mechanism of text generation varies depending on the tool. But in most cases, you’ll have to enter a question or query and press the button to get an answer. The instrument can also require you to make extra adjustments.

❓ Is It Ethical to Generate Texts Using AI?

Generating texts with AI can be fine, frowned upon, or illegal, depending on your purposes. In academia, you cannot present a computer-generated text as your own. If detected, AI-generated essays will be construed as plagiarized. They can destroy your reputation as a good college student or scientist.

❓ How Does an AI Essay Checker Work?

• Enter the essay you wish to check for AI-generated plagiarism.
• Insert the title for a better result.
• Press the button to get a free result.
• If you wrote the text, but it is still too AI-like, edit it appropriately.
• What is Natural Language Processing? An Introduction to NLP
• Meet GPT-3. It Has Learned to Code (and Blog and Argue).
• ChatGPT: Everything you need to know about OpenAI's GPT-3
• Problems with GPT-3: Disadvantages and potential issues
• How to spot AI-generated text | MIT Technology Review

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Share your requirements with us and our team will respond to you promptly., essay checker, check your essay for grammar & language errors.

Students can write better essays quickly and confidently with Trinka AI—it finds and corrects language and grammar errors in real-time. 

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Why Choose Trinka's Essay Checker

Trinka's essay checker identifies errors specific to academic writing that other AI grammar checkers may not. Everything from complex grammar errors to scientific style and tone is proofread by Trinka! Trinka's essay checker has learned to provide the most relevant suggestions by analysing published academic papers, articles, and studies across various disciplines.

With Trinka, you will always be able to produce quality academic writing. Trinka's free essay checker can help ensure that your essays are of the highest quality and are edited quickly.

• Save time with auto edits
• Professionalize your writing
• High data security
• Enjoy it for free

Key Features of Trinka’s Essay Checker

With Trinka's advanced essay checker, you will be able to correct spelling and grammatical errors in your essay and make it more logical and concise.

Overall Language Enhancement

Polish your writing with Trinka language tips on enhanced vocabulary, tone, syntax, and much more.

Retain Original Formatting

Revise your essay with all changes made in tracks and the original formatting retained.

Plagiarism Check

Maintain originality in your work with iThenticate, the most advanced text similarity detection algorithm that compares your work with the largest paid publication database covering all scientific fields.

Table of Revisions

View a detailed table of revisions categorized by type of language error for a quick understanding of the edits made in your essay.

Style Guide Preferences

Tailor the grammar and word choice of your essay to comply with popular academic style guides (AMA 11th, APA 7th, ACS 2nd, AGU 2017, IEEE).

Works on all Subject Areas

Customize Trinka to provide you with the most relevant suggestions based on your subject area and the topic of your essay.

Check Beyond Grammar and Spelling

Trinka's essay checker goes beyond grammar and spelling to holistically enhance your writing.

Style Guide Preference

Technical Phrasing

Word Choice

Word Count Reduction

Academic Tone

Usage and Style

Unbiased Language

Advanced Grammar

US/UK Style

Vague Language

Sentence Structure

Advanced Spelling

Testimonials.

First, I love Trinka. Congratulations on developing something that extensively aids editing, especially critical grammar conventions and word count reductions.

James Smith

I've been using Trinka for four months now, and I have extensive experience with other grammar checker systems. I've used the proofreader for two ten-page papers, and I must admit, I'm quite impressed by its quality and usefulness. I am very satisfied with Trinka and strongly recommend it for academic proofreading.

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Writing texts with correct English grammar and style is not an easy task for people who speak other languages. Sometimes you cannot find little mistakes in your document without help and moreover for academic writing. I tried Trinka AI as a tool of automatic correction and was quite glad with the suggested corrections and the feedback. With the feedback you understand why the suggested change must be taken into account.

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I just wanted to say thank you for such a great and free service, all the other grammar checkers and writing assistants I have tried don’t have nearly the depth of features let alone all available on a free subscription. As a student with little income available I am extremely grateful that unlike all others companies you don’t limit features on the free plan. This is a fantastic product and given the income I would definitely upgrade to the premium. I've let all my fellow students know about Trinka as it is seriously a life saver.

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Trinka AI is a great tool to help beginners in research publication. Its grammar editing, online proofreading with file download, citation checker, plagiarism checker, paraphraser, and journal finder provide amazing features at your fingertips. Even the free Trinka Basic plan can be invaluable for researchers in their early stages or at PG levels, helping them improve project reports and papers to meet publication standards. Overall, I'm extremely impressed with Trinka AI, as it stands out among research writing tools. Give it a try and you will love it! Thanks Trinka AI team for this valuable tool.

Dr. Nitin Wahi

Trinka.ai is my most favorite choice for grammar and spelling edit. The application works correctly, is fast and tidily! Completely satisfied!

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Trinka has awesome features. Advanced level of academic writing checker and suggestion are so original. I would highly recommend to others.

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I have tested Trinka and am impressed with its fine capabilities. It did better than the grammar checkers I use. Well done! I have told my colleagues in my research lab to use Trinka. Hope it is widely used in academia.

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Trinka AI's suggested corrections and feedback astounded me. It is simple to use and extremely beneficial

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It's been a wonderful experience using Trinka and I almost can't submit any manuscript without re-evaluating with it. In summary, Trinka has been a life-saver.

I trust and use Trinka as a final spot check for my edited documents. It helps me find the few remaining errors that I have missed during the primary editing. I really like using this platform for my writing. One particular feature that works well for me is the thumbs down button.

Stumpf Curtis

I think Trinka.ai is a very interesting and potentially useful idea, especially for editors/publishers/journals. I found it very useful when I checked my editing work on the platform.

Dyke Gareth

I am happy with the overall performance. I have been using Grammarly for a long while, but when it comes to academic or technical writing, Trinka is definitely a much better option. Academic document settings and auto file edit are my favorite features.

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Trinka has become my go-to tool for grammar corrections. The AI-powered corrections and language enhancements made writing a lot more easier. Now I am able to focus more on research than on writing an error-free document.

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Trinka puts data safety and privacy at the forefront. All your data is strongly encrypted and securely stored - no one else has access to your data. We offer unique plans that completely eliminate saving any data once you receive writing suggestions.

About Trinka

Trinka uses the latest, state-of-the-art Machine Learning (ML) and Natural Language Processing (NLP) technologies to identify grammar errors and suggest language enhancements. It is trained on millions of well-written papers and articles covering 1300+ subject areas including medicine, life sciences, biology, physical sciences, engineering, humanities, business, and arts to give you the most relevant suggestions.

Trinka is developed by a team of linguists, medical editors, data scientists, and engineers with a deep desire to create a future with barrier-free communication.

Frequently Asked Questions

Yes. Trinka essay checker can be used across all subject areas. It provides contextual suggestions based on the chosen subject area.

There are positives and negatives of using an AI editor. With an AI editor, you have speed, control and the best part—it’s completely free! AI editors support human editors who can organize your writing into a clear, logical, elegant paper. After letting the AI editor edit your paper, if you feel you need a human check, we do have in in-house expert copyeditors who provide assistance with reviewing your final documents.

The Proofread File service gives you the following benefits:

• The edited file will display all changes in tracks. This means you can review the changes and accept or reject them using Microsoft Word or any other compatible word processor. This file will also include comments and explanations that can help you make your writing clear.
• You will also receive a detailed report which shows the number of revisions Trinka has made in each language category and an overall writing quality score.

We've tested Trinka's AI essay checker with leading online grammar checkers on five academic domains for accuracy, style guide compliance, conciseness, and contextual spelling check. Trinka stood out remarkably. To learn more, you can refer to our published whitepaper .

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Turnitin's AI writing detection available now

Turnitin’s AI writing detection helps educators identify when AI writing tools such as ChatGPT may have been used in students’ submissions.

Academic integrity in the age of AI writing

Over the years, academic integrity has been both supported and tested by technology. Today, educators are facing a new frontier with AI writing and ChatGPT.

Here at Turnitin, we believe that AI can be a positive force that, when used responsibly, has the potential to support and enhance the learning process. We also believe that equitable access to AI tools is vital, which is why we’re working with students and educators to develop technology that can support and enhance the learning process. However, it is important to acknowledge new challenges alongside the opportunities.

We recognize that for educators, there is a pressing and immediate need to know when and where AI and AI writing tools have been used by students. This is why we are now offering AI detection capabilities for educators in our products.

Gain insights on how much of a student’s submission is authentic, human writing versus AI-generated from ChatGPT or other tools.

Reporting identifies likely AI-written text and provides information educators need to determine their next course of action. We’ve designed our solution with educators, for educators.

AI writing detection complements Turnitin’s similarity checking workflow and is integrated with your LMS, providing a seamless, familiar experience.

Turnitin’s AI writing detection capability available with Originality, helps educators identify AI-generated content in student work while safeguarding the interests of students.

Turnitin AI Innovation Lab

Welcome to the Turnitin AI Innovation Lab, a hub for new and upcoming product developments in the area of AI writing. You can follow our progress on detection initiatives for AI writing, ChatGPT, and AI-paraphrasing.

Understanding the false positive rate for sentences of our AI writing detection capability

We’d like to share more insight on our sentence level false positive rate and tips on how to use our AI writing detection metrics.

Understanding false positives within our AI writing detection capabilities

We’d like to share some insight on how our AI detection model deals with false positives and what constitutes a false positive.

Have questions? Read these FAQs on Turnitin’s AI writing detection capabilities

Helping solve the AI writing puzzle one piece at a time

AI-generated writing has transformed every aspect of our lives, including the classroom. However, identifying AI writing in students’ submissions is just one piece in the broader, complex, ever-evolving AI writing puzzle.

Research corner

We regularly undertake internal research to ensure our AI writing detector stays accurate and up-to-date. If you are interested in what external testing has revealed about Turnitin's AI-writing detection capabilities, check out the links below. Notably, these studies position Turnitin among the foremost solutions in identifying AI-generated content within academia.

Research shows Turnitin's AI detector shows no statistically significant bias against English Language Learners

• In response to feedback from customers and papers claiming that AI writing detection tools are biased against writers whose first language is not English, Turnitin expanded its false positive evaluation to include writing samples of English Language Learners (ELL) and tested another nearly 2,000 writing samples of ELL writers.
• What Turnitin found was that in documents meeting the 300 word count requirement, ELL writers received a 0.014 false positive rate and native English writers received a 0.013.
• This means that there is no statistically significant bias against non-native English speakers.

Turnitin’s AI writing detector identified as the most accurate out of 16 detectors tested

• Two of the 16 detectors, Turnitin and Copyleaks, correctly identified the AI- or human-generated status of all 126 documents, with no incorrect or uncertain responses.
• Three AI text detectors – Turnitin, Originality, and Copyleaks, – have very high accuracy with all three sets of documents examined for this study: GPT-3.5 papers, GPT-4 papers, and human-generated papers.
• Of the top three detectors identified in this investigation, Turnitin achieved very high accuracy in all five previous evaluations. Copyleaks, included in four earlier analyses, performed well in three of them.

Teaching in the age of AI writing

As AI text generators like ChatGPT quickly evolve, our educator resources will, too. Curated and created by our team of veteran educators, our resources help educators meet these new challenges. They are built for professional learning and outline steps educators can take immediately to guide students in maintaining academic integrity when faced with AI writing tools.

A guide to help educators determine which resource is more applicable to their instructional situation: the AI misuse checklist or the AI misuse rubric.

A guide sharing strategies educators can consider to help when confronted with a false positive.

A guide sharing strategies students can consider to help when confronted with a false positive.

The Turnitin Educator Network is a space to meet, discuss and share best practices on academic integrity in the age of AI.

Learn more about AI writing in our blog

Written by experts in the field, educators, and Turnitin professionals, our blog offers resources and thought leadership in support of students, instructors, and administrators. Dive into articles on a variety of important topics, including academic integrity, assessment, and instruction in a world with artificial intelligence.

In this blog post, we’re going to address frequently asked questions about AI writing tool misuse for students. Specifically, what does AI writing tool misuse look like? How can you self-check to make sure you’re using AI writing tools properly?

Stay up to date with the latest blog posts delivered directly to your inbox.

Turnitin ai tools in the news.

Never miss an update or announcement. Visit our media center for recent news coverage and press releases.

Cheat GPT? Turnitin CEO Chris Caren weighs in on combating A.I. plagiarism | CNBC Squawk Box

Since the inception of AI-generated writing, educators and institutions are learning how to navigate it in the classroom. Turnitin’s CEO Chris Caren joins ‘Squawk Box’ to discuss how it is being used in the classroom and how educators can identify AI writing in student submissions.

Trouble viewing? View the video on YouTube or adjust your cookie preferences .

Some U.S. schools banning AI technology while others embrace it | NBC Nightly News

ChatGPT, an artificial intelligence program, can write college-level essays in seconds. While some school districts are banning it due to cheating concerns, NBC News’ Jacob Ward has details on why some teachers are embracing the technology.

BestColleges

Artificial intelligence, it seems, is taking over the world. At least that's what alarmists would have you believe . The line between fact and fiction continues to blur, and recognizing what is real versus what some bot concocted grows increasingly difficult with each passing week.

ThriveinEDU Podcast

On this episode of the ThriveinEDU podcast, host Rachelle Dené Poth speaks with Turnitin’s Chief Product Officer Annie Chechitelli about her role in the organization, her experience as a parent with school-age children learning to navigate AI writing, and the future of education and original thought.

District Administration

Following the one year anniversary of the public launch of ChatGPT, Chief Product Officer Annie Chechitelli sits down with the publication to discuss Turnitin’s AI writing detection feature and what the educational community has learned.

For press and media inquiries, contact us at [email protected]

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What Is AI Detector?

ChatGPT and similar tools are becoming increasingly popular. While they can be handy for specific purposes, it's still vital to understand that AI-created text may result in various penalties.

We have created our ChatGPT finder based on the same language patterns that ChatGPT and other similar AI-writers use, and we have trained our tool to distinguish between patterns of human-written and AI-generated text. You will receive a real-time report on how much of the content is fake.

Using AI-detector.net, you can be sure your texts are completely authentic and contain zero AI-written text.

Best Free AI Text Checker

AI-detector.net will provide you with detailed results within only a few seconds.

No need to pay or register—just paste the text, and you’ll get the result.

We use the same technology as ChatGPT to provide the most precise results.

Our ChatGPT detector can be used for various content types: essays, articles, and more.

Descriptive

You will get a detailed report with highlighted content that was likely written by AI.

Confidentiality

We care about your privacy and do not store any of your texts or personal information.

Who Is AI Detector for?

It is vital to know what content has been written by AI or humans, whether you’re looking at a blog post, browsing the Internet, or reading a college essay. Our free ChatGPT detector can help you to check any type of text.

Marketing and SEO-content

The vast majority of search engines penalize content if they recognize it as AI-generated. Use our AI text checker to verify that you’re posting only human-written content and to detect if your writers used any AI tools in the process.

Academic writing

Find out if your essays or theses include any signs of AI content tools usage. Copy and paste any assignment into the box above and find out within a few seconds whether it is AI-generated or written by a real human.

Business writing

Avoid misleading or inaccurate information in your emails, reports, or other texts, which may occur due to the use of ChatGPT or similar tools. Our AI detector will help you to protect your brand reputation and deliver clear messages to your customers.

How AI Content Checker Works?

Our free AI content detector allows you to assess any text within a few clicks and get the results in seconds.

What Technologies Can AI Checker Detect?

With the rise in popularity of various AI text generation platforms, it is vital to know whether content was written by humans or created by an AI platform. We have incorporated as many technologies as possible into our tool to detect potential issues in any given piece of content.

ChatGPT AI Detector

The first AI chatbot, launched in November 2022, quickly gained users’ attention for its detailed responses. However, it often provides inaccurate facts and false answers.

Our ChatGPT essay checker can easily detect the use of this technology so that you can be sure what was artificially created with the help of this algorithm.

GPT-3 and GPT-4 Detector

Our free service is capable of detecting GPT-4, as well as the earlier version of ChatGPT responses. We have implemented a state-of-art algorithm, which incorporates keyword extraction and sentiment analysis. This helps us to determine texts made with pre-trained language models.

The AI-Detector.net model uses contextual and structural clues to recognize machine-generated texts.

Other AI-Writing Tools

There are many online writing tools that use GPT-3 or similar natural language processing models. We have created our AI Detector with the capability to recognize topic modeling and find flag words and language patterns that are typical for artificial intelligence and uncommon for humans. That’s why it can easily verify whether something was written by AI or real people and show it to you in a detailed report.

Check Our Other Tools for Your Writing!

Make your text unique with our free rephrasing tool.

Main Idea Finder

Summarize a lengthy text into a shorter piece a flash with the help of our free online tool.

Random Topic Generator

Grab the list of ideas and research questions for your writing.

Reword generator

Use our AI-powered online paraphraser to rephrase any text in no time.

Essay Conclusion Generator

Stuck with conclusion? No worries! Make a brief summary for your paper within a click.

Thesis Statement Generator

Create a perfect thesis statement for your paper with our free thesis statement generator.

Text Summarizer

Condense any text into a brief summary within a few clicks.

Sentence Rewriter

Paraphrase any sentence or paragraph within a few seconds with our free sentence rewriter.

Thesis Checker

Make a perfect thesis that fits your paper with only a couple of clicks.

Essay Topic Generator

Grab a bunch of unique essay topic ideas in a flash using our handy online tool.

Thesis Maker

Craft a perfect thesis statement for any paper in three simple steps.

Research Title Generator

Can’t pick up a catchy title for your research paper? Use our title generator to get the list of ideas.

Research Question Generator

Get a list of research questions for your next project in no time with this online tool.

Rewrite My Essay

Rewrite any paper in a few clicks with this free online paraphrasing tool.

Summary Writer

Extract key ideas from any paper or article in seconds with the help of our free tool.

Thesis Statement Finder

Make a strong thesis statement for any paper using our free online thesis generator.

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AI content detector

Use our free AI detector to check up to 5,000 words, and decide if you want to make adjustments before you publish. Read the disclaimer first.

AI content detection is only available in the Writer app as an API . Find out more in our help center article .

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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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