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Advanced AI Detector and Humanizer [ u n d e t e c t a b l e A I ]

How to use our ai checker and ai humanizer to detect ai content, humanize ai texts, and bypass content detectors like copyleaks, writer, gptzero, and originality, use our free ai detector to instantly assess the likelihood of ai detection across all major tools, use our ai humanizer to transform ai generated text into undetectable human-like content, ai generated content, how can undetectable transform your copy, bypass the most advanced ai detectors on the market., create human-like, keyword-rich content that ranks high on search engines., ensure your emails and seo content won't be flagged as spam., express your originality and creativity without the constraints of ai detection., a powerful ai content detector and humanizer designed for serious writers and content creators, begin with your ai-generated text, let us do our magic, enjoy your human-like content, discover the power of an ai detection remover and ai humanizer tool, looking for the most accurate, free ai detector, awards & recognition, the #1 best ai detector rated by forbes.

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Why Choose Undetectable AI?

Undetectable’s ai checker and ai humanizer supports multiple languages.

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Frequently Asked Questions

What is undetectable ai, who can benefit from using undetectable ai, does undetectable ai bypass ai detectors, how is your pricing determined, will my content still rank well on search engines.

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The Undetectable AI Humanizer

Use our anti AI Detection to evaluate your AI-generated content, If the content fails to pass the AI detection, you can choose the 'Humanize' option for human rewriting, ensuring it successfully bypasses AI detection.

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AI Undetect streamlines office tasks with AI rewriter, It ensures your AI-generated content remains undetected by supervisors.

Academic Work Helper

Students can use rewrite word AI tool to remove AI words from their papers, ensuring their work is not mistakenly detected by AI checkers.

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Enhance your blog with AI humanizer by write human, quality content in bulk. It's the perfect solution for SEO-friendly, human-like blog posts.

How to make AI text undetectable?

Everyone can try converting AI to human content.

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Paste your AI-generated text into AI Undetect.

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Detecting if the content is human-friendly text.

You will be able to see the results of mainstream AI detection algorithms, free and fast.

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Click "Humanize" and let AI Undetect transform your AI content to human, undetectable content, It also won't have any plagiarism risk.

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Introducing AI Undetect

Ai undetect is free ai detection remover and humanizer, we provide ai humanizer for humanize ai text produced by ai writer such as chatgpt, jasper, monica, hix ai etc, thereby bypass ai detectors..

We can convert your AI to human text quickly and with high quality.

Many people try to achieve anti-detection by scribbling and deliberately making mistakes. We are proud to say that our rewritten content is error-free.

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One-Time Use of All AI Detectors with Bypass AI Detection

Different detectors have different capabilities. We have integrated several leading AI detection interfaces, including GPTZERO, COPYLEAK, WRITER, Winston AI detector, Turnitin, Originality AI and more . You can obtain results from all AI detectors at once, without the need to perform checks everywhere and worry about missing anything.

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I'm impressed by how AI Undetect has humanized my AI text. It's completely transformed my office work, making reports indistinguishable to supervisors. Successfully bypass AI detection!

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Questions and Answers

Browse our FAQs for insights into how AI UNDETECT operates. If you still have questions, please feel free to contact us for further assistance.

Who can benefit from Undetectable AI Humanizer?

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AI Undetect is expertly designed for diverse users like marketers, SEO specialists, writers, bloggers, journalists, and researchers. It's ideal for those wary of false accusations of AI-assisted content. Our goal is not just to encourage AI utilization but also to protect users from AI detection challenges, leveraging our cutting-edge bypass technology.

Does AI Undetect successfully humanize AI text and bypass AI Detection?

AI Undetect excels as a stealth writer, masterfully humanizing content for marketers, writers, and bloggers. It not only bypasses AI detectors with ease but also ensures a seamless, human-like quality in the rewritten material. We advocate for its responsible use, in line with ethical practices and platform guidelines, while highlighting its unparalleled ability in perfecting humanized rewrites.

How is the pricing for AI Undetect structured?

Our pricing, competitive against offerings like WriteHuman.ai and StealthWriter.ai, is set considering the substantial investment in our custom large language model. Developed and refined by a team of PhDs, researchers, and marketing experts, it encompasses a broad spectrum of content. This thorough training guarantees top-tier quality, coherence, and authenticity in our output, ensuring great value despite the significant costs involved.

What should I do if I exhaust my rewrite word limit?

We provide free rewriting of 400 words and 10 detections per day for each user. When you require additional rewriting capacity, you can subscribe by clicking on the "price" option at the top of the website. If the subscribed word limit is exhausted again, you can renew your subscription with confidence. The new subscription will preserve your previously earned credits and extend the validity of those credits.

What is the difference between AI Undetect and stealth writer, word AI?

Our AI rewriter tool stands out as a more cost-effective solution compared to competitors like Undetectable.ai, StealthGPT, ZeroGBT, ConchGPT, ConChai, and StealthWriter AI. Offering affordability, our service guarantees 99% effectiveness against AI detectors, including passing Turnitin's AI checks. With AI Undetect, you get free access to eight advanced ChatGPT checkers, enhancing your ability to produce undetectable, high-quality content. Discover more about making ChatGPT content undetectable at https://www.aiundetect.com/blog.html.

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AI Essay Checker by AcademicHelp

Academic integrity ai checker.

Detect ChatGPT plagiarism and AI texts

Online AI content detector

Check your academic assignments for AI

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Detect ChatGPT, GPT4, Claude & Bard

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

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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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Bulk Content Generator

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AI Text Humanizer

Transform your content to match the quality of human writing in seconds.

AI-Powered Content Humanizer

Enhance your low-quality, AI-sounding text with our AI-powered tool. Optionally, you can use our Blog Post Generator to create blog posts that are already human-like.

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Free AI Humanizer Tool: Transform Robotic Writing into Natural and Engaging Content

AI Humanizer Tool showing a piece of content is 99% human written

Introduction

In the age of digital content creation, AI-generated content has become a game-changer, offering the ability to produce text quickly and at scale. This type of content is crafted by algorithms that can mimic human writing, providing significant advantages such as:

  • Speed : AI can generate articles , reports, and stories much faster than a human writer .
  • Volume : It can produce a large amount of content in a short period.
  • Cost-efficiency : Reduces the need for extensive human resources.

However, despite these benefits, AI-generated content often lacks the nuanced expression and relatability that come naturally to human writers . This can result in text that feels robotic or impersonal. Recognizing this gap, the importance of humanizing AI-created text is paramount.

Incorporating a human touch into AI-generated content not only makes it more engaging but also ensures it resonates with your audience on a personal level.

Introducing the Free AI Humanizer Tool , designed to refine AI-produced material by infusing it with the warmth and subtlety of human writing. By doing so, you can transform standard AI output into content that captivates and connects with readers.

Benefits of Our Free AI Humanizer Tool

Compared to other AI text converter tools in the market, the Free AI Humanizer Tool uniquely caters to content creators, bloggers, and digital marketers. It equips website owners and developers with a comprehensive suite of features designed to elevate text quality:

The tool's standout features are beneficial for website developers seeking to infuse more human-like qualities into their AI-generated content. Bloggers can take advantage of its language enrichment feature to make their posts resonate more naturally with readers.

1. Pattern Recognition

Junia AI 's Free AI Humanizer Tool detects common phrases and structures used by popular AI writing models , targeting them for humanization.

2. Language Enrichment

It enriches text with synonyms and colloquialisms that resonate more naturally with readers.

3. Contextual Analysis

The tool analyzes the context of each sentence to ensure that revisions maintain the original meaning while improving readability.

4. Multi-Language Support

A significant advantage for global users is its ability to work across multiple languages , broadening its applicability.

5. User-Friendly Interface

With simplicity in mind, the tool’s interface allows for quick navigation and operation without requiring extensive technical know-how.

6. Integration-Friendly

It's designed to integrate seamlessly into your existing content creation workflow.

7. Ensuring Plagiarism-Free Content

The Free AI Humanizer Tool is not only remarkable for its ability to imbue a natural style into AI-generated content, but also for its protection against plagiarism. It takes the initial output from AI sources and refines it in a manner that mirrors how an individual might naturally convey the same information.

8. SEO Advantage

As search engines become increasingly sophisticated in identifying AI-generated content, having an ally such as Junia AI ensures that your material not only evades detection, but also adheres to high-quality standards that foster a genuine connection with readers. Search engines favor content that provides value to readers. By utilizing this tool, you can optimize your content for improved search engine rankings. This is due to the natural flow of the rewritten text, which mirrors human writing styles, potentially reducing bounce rates and increasing time spent on your website.

9. Reduction in Bounce Rates

Natural-sounding content keeps readers on the page longer because it's easier and more enjoyable to read. Lower bounce rates signal to search engines that users find value in your content, which can boost your rankings further.

Digital marketers will appreciate the tool's ability to analyze context while ensuring readability – perfect for crafting engaging ad copy or social media posts.

In essence, the Free AI Humanizer Tool is a valuable asset for anyone looking to transform standard AI output into plagiarism-free content that captivates and connects with audiences.

Creating engaging content that holds your audience's attention is a careful balance between the speed of automation and the genius of human creativity.

By using this Free AI Humanizer Tool in your writing routine, you can create content that not only maintains the data-rich benefits of AI but also has the warmth and relatability of a human touch.

The Free AI Humanizer Tool acts as a guiding light for those navigating the vast digital content creation landscape. It turns mechanized writing into lively narratives, bridging the gap between artificial intelligence and human expression.

Benefits for ChatGPT Users

The abilities of Junia AI are especially useful for those who heavily rely on AI tools like ChatGPT for creating content . With this free tool, writers and marketers can avoid common problems related to AI writing—like repeated phrases or awkward sentence structures—making sure their message is delivered effectively.

Tech Efficiency and Human Creativity

The Free AI Humanizer Tool combines tech speed with human artistry—essential in today's digital age. With this powerful tool, you get a creative solution that enhances your content strategy.

Give the Free AI Humanizer Tool a try to see how it can boost the quality and impact of your content, ensuring it not just reaches but also connects with your target audience.

Frequently asked questions

  • What are the key features of the Free AI Humanizer Tool? The Free AI Humanizer Tool offers pattern recognition, language enrichment, tone adjustment, contextual analysis, multi-language support, user-friendly interface, integration-friendly design, and real-time suggestions.
  • How does the Free AI Humanizer Tool ensure plagiarism-free content? The tool ensures plagiarism-free content through advanced algorithms, the Stealthwriter feature, AI content rewriting capabilities, and integration with plagiarism detection tools.
  • What are the benefits of using the Free AI Humanizer Tool? Using the Free AI Humanizer Tool enhances reader engagement, maintains content authenticity, ensures consistency in quality, provides an SEO advantage, and reduces bounce rates.
  • What are some challenges faced by marketers and writers with AI-generated content? Marketers and writers face challenges such as authenticity concerns, maintaining brand voice consistency, capturing subtlety and tone, understanding contextual nuances, addressing error propagation, and avoiding search engine penalties.
  • How can the Free AI Humanizer Tool be used to enhance AI-generated content? The Free AI Humanizer Tool can be used to transform robotic-sounding writing into natural and engaging content by employing its key features such as pattern recognition, language enrichment, tone adjustment, contextual analysis, multi-language support, user-friendly interface, integration-friendly design, and real-time suggestions.
  • How does ChatGPT contribute to AI text generation? ChatGPT is a leading example of AI text generation, providing capabilities such as language understanding and usage across various industries, however, it may lack the human touch and natural language flow that the Free AI Humanizer Tool can provide. By using the Free AI Humanizer Tool, ChatGPT users can enhance their content to ensure it resonates with their audience.
  • Who can use this AI Humanizer tool? This AI Humanizer tool can be utilized by a wide range of users, including writers, content creators, bloggers, students, researchers, and professionals from various industries. Its versatility makes it a valuable tool for anyone who wants to improve their writing skills or streamline the content creation process.

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.

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AI Essay Feedback

Ai-powered essay feedback and revision tool.

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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 ”

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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.!”

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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!

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HideMy.AI Review: Can This AI Paraphrasing Tool Bypass AI Detection? (Yes!)

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The hype around generative AI is real. Since more people are using it to write cover letters, generate scripts, and ask when the best time to walk their dog is, venture capitalists are looking at the possibility of it being a trillion-dollar industry in the next 20 years.

On the flip side, AI detectors like Originality , GPTZero , and CopyLeaks, are looking to predict AI-generated content.

Why? To separate reality from robot, combat plagiarism and misinformation, and to prevent AI from generating content that doesn’t exist ( AI hallucination ).

While I personally have questionable feelings about AI detectors , and tend to find them false flagging (and yes, I said estimating – because that is what they do) human writing, I get the purpose of them. But only up to a certain extent. Some students have gotten 'caught' cheating with tools like ChatGPT when tools like TurnItIn accused them of cheating .

So why would anyone want to bypass these detectors? Because sometimes they will flag you no matter what. Sometimes you might want to use ChatGPT to generate partial points of a piece of writing but want it to remain looking human-like (which ChatGPT can sometimes fail to do)

You don’t want your content to be flagged as AI content, right? Neither would you want anyone to say you’ve plagiarized content when you’ve put in the best effort in your writing. Enter HideMyAI !

With its simple, yet surprising attention to detail, HideMyAI enables you to reconstruct AI-generated or AI-assisted content and bypass all of the leading AI detection tools

How HideMy.ai Works

You generated content from ChatGPT or another AI writing software. Now what? Copy that and paste a snippet or the entire output into the tool. Click “Hide My AI” just below the box and you’ll get a reconstructed, humanized content moments after.

At the bottom of your results, you will see the names of several AI detectors, which include Originality, Turnitin, CopyLeaks, ZeroGPT, and ContentScale. All with circles to their left. These immediately show if the revised content has a high probability of bypassing detection, passing your content off as something written by you, a human.

I first asked ChatGPT to write me a 100-word conclusion on what we can expect from AI 5 to 10 years from now:

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Now let's get into the tool!

On the lower part of the output side, you’ll see the list of top AI detection tools with gray circles beside them. Once HideMyAI paraphrases your AI-generated text, these circles will either become green, yellow, or red. This shows the odds of getting caught in one of these detectors. You'll also see a bunch of modes you can change.

To view your remaining credits, click the View Limit/Usage button located at the top right of your screen.

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Once logged in, you can go to your dashboard, where you can view your documents, subscription, payments, remaining credits, and more. Documents are automatically saved, which is good. You can delete documents but you can't easily copy them unless you highlight them. I'd hope this feature gets fixed/added sometime soon.

Clicking the Tool button will lead you to the paraphraser but it has no options for the type, level, and perspective. There's also no way out but to use the “back” command on your browser. And because this is quite annoying, I suggest you click the HideMyAI logo on the top left of your screen instead of the tool button.

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HideMyAI Key Features

HideMy.ai only has one main feature - to paraphrase AI content to be humanlike and undetectable across AI writing detectors. The tool allows you to choose from seven types of writing styles: general, essay, news, blog post, cover letter, marketing copy, or email.

You can also choose from eight different levels of writing skill - match to content, professional, casual, grade school, secondary (high) school, undergraduate, masters, or PhD.

You also have the ability to change the perspective. You can select from first, second, or third person.

And the last option gives you the ability to choose ChatGPT, OpenAI Playground, Jasper, or Other. But honesty, I think these generator options are pointless. The writing seems very similar no matter what.

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How Good Was My Result?

I pasted the AI content I made earlier with ChatGPT into the field and tested the tool twice . For my first test, I chose News Article, Professional - Casual, and Second Person.

The output shows all-green, indicating that it will likely bypass AI detection. Pretty incredible. Then, I used three of the actual AI detection tools - Originality AI , Content at Scale , and GPTZero . And Holy Moly! The output passed all of them with flying colors!!! And I genuinely think Originality is one of the strictest detectors.

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For my second test, I chose Blog Post, Masters, and Third Person POV. Like my first sample, the output showed all-green and passed all three AI detection tools. It was really surprising, especially since the content actually makes sense.

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I’m truly impressed that HideMy AI can bypass AI detection tools, I'm even more impressed that it did so without destroying the actual meaning of what I wrote.

However, I noticed that the tool didn’t exactly always follow my instructions. If you look at the two outputs very closely, both of them have “I” and “We,” indicating that they were written as first person. And I asked HideMyAI to use the second and third person. Maybe a bug? Maybe just bad luck running?

HideMyAI Pricing

HideMyAI let's you try it for free with 300 credits (1 credit = 1 word). If you need more credits, you can use the pay-as-you-go system that let's you purchase credits for as low as $10 (for 5,000 words).

If this is something you see yourself using over the next several months or to rewrite a lot of content, you could save money and upgrade to the Pro plan starting at $8.25 a month that comes with a 10,000-word limit. The tool doesn't come with a money-back promise, but will return credits for AI-detected content. Just let them know.

HideMy.AI Pros and Cons

  • You get more words/credits in the free trial compared to other AI content reconstructing/paraphrasing softwares
  • You can get your credits back if an AI detector identifies your reconstructed content as AI-written
  • Supports other languages (Spanish, Russian, and French)
  • Passes AI detection tools without destroying the meaning of your writing
  • Despite being feature rich, the software is packaged in a simple, minimalist UI
  • Very Affordable
  • Bulk upload feature
  • Saves output automatically
  • No continuously free version
  • Might not follow exact instructions
  • Refunds credit (not cash) for detected AI content

HideMyAI Alternatives

Undetectable ai.

Like HideMyAI, Undetectable AI also paraphrases AI content in different variations. You can choose from nine purposes of writing, five readability levels, and three human modes - More Readable, Balanced, and More Human. They also promise to convert AI-written text into high-quality content that would bypass AI detection tools.

If you want to know more about how it works, check out our Undetectable AI review .

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QuillBot focuses on word-by-word reconstruction. It is mostly a paraphrasing tool than a complete AI content reconstructing tool like HideMyAI. But it is free and easy to use, so if you feel like paraphrasing is enough to get the job done, QuillBot is a great alternative for HideMyAI. Features like Plagiarism Checker and Citation Generator sets it apart when compared to its reconstructive AI content counterparts.

Moreover, the output shows colored texts and the tool will offer suggestions for replacements once you drag your mouse onto them. Then, a small Rephrase button will appear so you can replace the words automatically. You can also change your choice if you like. To see how the other features work, check out our detailed QuillBot review .

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Paraphraser

Paraphraser.io is a freemium paraphrasing platform that works similarly to the rest of the tools I mentioned above. It also has other features such as a rewriting tool, grammar checker, text summarizer, and plagiarism checker. The main difference is that Paraphraser is open-source software and offers a WordPress plugin, which can be useful for bloggers.

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And let us not forget... ChatGPT! ChatGPT may be the most famous when it comes to generating AI content. But for reconstruction, not so much.

Unlike HideMyAI where you can easily customize the level of writing perspective, and the type of writing, ChatGPT requires the right prompts to accurately reconstruct the original AI generated content.

From my experience, I just ask it to paraphrase for me while setting limits like the number of words, or asking it to be in first person. Although it does a satisfactory job at paraphrasing, it’s not nearly as powerful in customization as HideMyAI. It also won't pass AI detection tools because it's... AI!

The Final Verdict

The moment I tried HideMyAI , I knew it would paraphrase anything I needed to become undetectable. The customization options are incredible, you get immediate feedback, and you can see where your writing stands with detectors.

You can continuously adjust and customize the output for the bypassing feature to be more effective. On top of this, you can add your personal touch by paraphrasing snippets or editing the rest of the resulted text to your liking.

Although it showed that its reconstructed output can sometimes be detected by CopyLeaks, based on my experience, it seemed that it only made mistakes based on the customization I made. I'd highly recommend it!

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Bypass AI Detection With AISEO

Create unique, AI-detector-proof content with ease using AISEO Bypass. Experience the freedom of guaranteed plagiarism-free writing!

AISEO | Outsmart AI content detectors with AISEO custom models.

Boost your content with aiseo: quick, easy chrome extension.

Import From URL

Shorten is a Premium Feature

Make any sentence shorter with the Shorten operator.

Expand is a Premium Feature

Make any sentence longer with the Expand operator.

Simplify Tone is a Premium Feature

This tone would focus on paraphrasing and making the text easier to understand for a general audience

Improve Writing tone is a premium feature

Paraphrases text in a more sophisticated and professional way with Improve Writing tone operator.

Limit is 700 characters for free accounts. For unlimited get Free Trial

Suggested: -

Readability

Human Content Indicator

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Shorten Mode Example

Many people participate in New Year's Eve parties.

New Year's Eve is celebrated everywhere.

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Simplify Mode Example

It is imperative to take action immediately.

It's urgent to do something right now.

Expand Mode Example

Reading is important for education

When it comes to education, reading plays a crucial role in acquiring knowledge and skills.

Creative Mode Example

Let me know if you need any help with the project.

Inform me if assistance is required for the project.

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Families gather to have a feast on Thanksgiving.

Thanksgiving is a time for feasting with loved ones.

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We create truly undetectable AI content.

Our content tool helps you bypass AI detection and improve your search engine rankings. While AI writing tools can be convenient, they often lack the human touch that makes content engaging. Our tool's bypass feature ensures that your content passes AI detection tests and resonates with your target audience, leading to better rankings and success. Say goodbye to disappointing results and hello to success with our powerful content tool.

Transform your flagged AI content into exceptional writing, seamlessly evading AI detection systems while emulating the authenticity of human-authored prose.

AISEO Bypass AI 2.0: Pioneering humanizer outsmarting detectors like Originality.ai with a groundbreaking 90%+ human pass rate!

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AISEO’s Bypass AI detector is available for free, however, for unlocking higher limits, you will need to subscribe to a paid plan.

Based on how AI works, and our own testing, the output generated by the paraphrase is unique. However, just like any other AI tool, it is advisable to run the output of AISEO’s bypass AI detector through a plagiarism checker.

Based on the information available in the public domain, Google (or any search engine for that matter) cannot detect paraphrased content yet..

No. You will have to do it yourself manually or use AISEO’s content optimizing capabilities that are available to paid customers.

AISEO offers a generous 7 days free trial. Register an account for free and give the Content Paraphraser a run with unlocked limits.

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AISEO Bypass AI detection

Say goodbye to ai content detection woes and hello to top rankings.

Are you tired of feeling like you're battling against a robotic overlord every time you write content? Do you find yourself constantly tweaking and adjusting your words to satisfy the whims of AI algorithms? Well, it's time to say goodbye to those AI detection woes and hello to the top rankings.

With our innovative Bypass AI detection tool, you can finally write without fear of falling short in the eyes of AI algorithms. Our bypass AI detection tool uses sophisticated AI bypass technology to ensure that your content meets the requirements of search engines and resonates with your audience.

No more tedious, mind-numbing work trying to appease the robots. Our bypass AI text detection tool does the heavy lifting for you, freeing you up to focus on what you do best - creating engaging, high-quality AI generated text that connects with your audience.

So, if you're ready to say goodbye to the headaches of AI content detection and hello to top rankings, look no further than our bypass AI text detection tool. It's the secret weapon you need to take your content to the next level and achieve your desired success.

How can I Bypass AI Detection Using AISEO?

AI content detection has become a widespread problem in the era of social media and the internet. However, there are ways to bypass AI detection using AISEO. Let's discuss the process step-by-step:

Step 1: The first step is to check whether your content is AI detectable. To do that, you have to go to AISEO AI Content Detector .

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Step 2: Paste your content in the text box and click 'Check For AI Content.' Now, wait for the Undetectable AI tool to analyze your text.

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Step 3: Once the process is done, you can see the 'Human Content Score' on the right-hand side.

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Step 4: As you can see, the 'Human Content Score' of this content is just 71%, which is quite less. Now, we have to use the AISEO Bypass AI Content Detection tool. To do that, just click on 'Check Bypass AI Detector.'

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Step 5: This will open a new page. On the left text box, you have to paste your content and click on 'Make it human like' to bypass the AI content detection. Wait for a few seconds.

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Step 6: Once the new content is generated AI content on the right text box, copy-paste the new content on the AISEO AI content detector again and check the score again.

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Step 7: Now, you can see that the AISEO Bypass AI Detection tool has increased the 'Human Content Score' from 71% to 92%.

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What is AI content detection, and why is it important?

In today's digital age, content is king. Businesses are constantly vying for attention and engagement online, from blog post to social media updates. However, with the rise of AI content detection, creating effective content that resonates with humans and algorithms can be challenging. But what is AI content detection, and why is it so important?

  • AI content detection refers to the use of artificial intelligence technology to analyze and evaluate online content.
  • This technology is used by search engines, social media platforms, and other digital platforms to determine the relevance, quality, and authenticity of the content.
  • AI content detection algorithms look for various factors, such as keyword usage, backlinks, and engagement metrics, to determine how content should be ranked or displayed.
  • AI content detection aims to provide users with the most relevant and high-quality AI generated text possible.

So why is AI content detection important for businesses and content creators? Here are a few reasons:

  • SEO rankings: If your content is not optimized for AI content detection, it may not rank well on search engines or social media platforms, resulting in lower visibility and traffic.
  • User experience: Users today are savvy and can quickly identify low-quality or irrelevant content. AI content detection helps ensure that the content they see is high-quality, relevant, and engaging.
  • Brand reputation: Inaccurate or low-quality content can damage a brand's reputation and credibility. AI content detection can help ensure that your content is accurate and authentic, helping to build trust with your audience.
  • Competition: With so much content being created every day, businesses need to stand out from the crowd. Creating high-quality, optimized content can help give businesses a competitive edge.

How does AI content detection affect my website's rankings?

When it comes to ranking your website on search engines, AI content detection plays a critical role. But how exactly does it affect your website's rankings? Let's take a closer look.

  • AI content detection algorithms analyze a variety of factors to determine how content should be ranked or displayed. These factors may include keyword usage, backlinks, engagement metrics, and more.
  • If your content is not optimized for AI content detection, it may not be deemed relevant or high-quality and, therefore, may not rank well on search engines.
  • On the other hand, if your content is optimized for AI content detection, it can help improve your website's rankings and visibility.
  • High-quality, relevant content that appeals to both humans and algorithms can help increase engagement metrics, such as click-through rates and time on page, which are important signals for AI content detection algorithms.
  • It's also worth noting that AI content detection is constantly evolving and improving. What may have worked in the past may no longer be effective, so it's important to stay up-to-date on the latest trends and best practices.

So what can you do to ensure that your website's rankings are not negatively impacted by AI content detection?

  • Use relevant keywords and phrases in your content, but avoid keyword stuffing or using them unnaturally.
  • Create high-quality, engaging content that appeals to both humans and algorithms.
  • Use backlinks from authoritative sources to build credibility and increase visibility.
  • Monitor your website's analytics and adjust your content strategy accordingly.
  • Stay up-to-date on the latest trends and best practices in AI content detection.

In summary, AI content detection significantly impacts your website's rankings. By understanding how it works and optimizing your content for it, you can improve your search engine rankings, increase visibility, and attract more traffic to your website.

Can I still rank high in search results without bypassing AI detection?

The short answer is yes; you can still rank high in search results without bypassing AI detection. However, it may require more effort and strategy on your part. Let's explore this in more detail.

  • AI content detection algorithms are designed to prioritize high-quality, relevant content that meets the needs of the user. Therefore, if your content is well-written and informative, it has a better chance of ranking well.
  • However, competition for search rankings is fierce, and simply having good content may not be enough. You need to work to improve your website's visibility and credibility actively.
  • One way to do this is through search engine optimization (SEO). Optimizing your website for relevant keywords, creating quality backlinks, and improving user experience can increase your website's visibility and improve its chances of ranking well.
  • Another strategy is to focus on long-tail keywords, which are more specific and targeted than broad keywords. This can help you rank well for niche topics and attract more qualified traffic to your website.
  • Social media can also play a role in improving your website's visibility. Sharing your content on social media platforms and engaging with your audience can increase brand awareness and drive more traffic to your website.
  • Finally, it's important to regularly monitor your website's analytics and adjust your strategy accordingly. This can help you identify areas where you can improve and capitalize on opportunities to rank higher in search results.

In summary, while bypassing AI detection can certainly help improve your website's rankings, it is not the only way to succeed. By focusing on high-quality AI generated text, SEO, long-tail keywords, social media, and analytics, you can still rank high in search results and attract more traffic to your website.

Get Ahead of the Competition with Our Innovative Bypass Solution

In today's hyper-competitive digital landscape, standing out from the crowd can be tough. With so many businesses vying for attention, having a unique edge is more important than ever. That's where our innovative bypass solution comes in.

With our powerful Bypasser tool, you can get ahead of the competition by bypassing AI detection and writing content that truly connects with your audience.

Gone are the days of struggling to keep up with the latest SEO algorithms or worrying about your content being overlooked by search engines. With our Undetectable AI tool, you can create content that's both engaging and effective - content that sets you apart from the competition and drives real results.

Imagine being able to write with the confidence that your words will be seen and appreciated by real people - not just algorithms. That's the power of our innovative bypass solution.

So, if you're ready to get ahead of the competition and take your content to the next level, look no further than our powerful Undetectable AI tool. With its cutting-edge technology and intuitive interface, you'll be able to create content that truly resonates with your audience and drives real results. Don't settle for being just another face in the crowd - take the first step towards success with our innovative bypass solution.

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Is bypassing AI detection ethical?

Ethics in technology and ethical guidelines for online practices are becoming increasingly important in the digital age. As such, it's understandable that you may have concerns about the ethics of using an Undetectable AI tool to avoid AI content detection. Here are some points to consider:

  • Bypassing AI detection is not the same as creating spammy or low-quality content. Instead, it's a way to ensure that high-quality AI generated text is not penalized by overly strict algorithms.
  • AI content detection is not foolproof. It can often flag perfectly good and human generated content as spam or low quality, frustrating content creators. Using a bypass tool simply allows your content to be assessed on its true merits.
  • It's important to ensure that you're not using a bypass tool to create deceptive or misleading content. The goal should always be to create authentic, high-quality AI generated text that provides value to readers.
  • Ultimately, the decision of whether to use a bypass AI detection software is up to you and your own ethical standards. However, as long as you're using the Undetectable AI tool responsibly and creating quality content, there's no reason why bypassing AI detection should be considered unethical.

In conclusion, using a bypass innovative tool is simply a way to ensure that your high-quality AI generated text is not unfairly penalized by AI content detection algorithms. As long as you're using the Undetectable AI tool responsibly and creating authentic, original meaning valuable content, there's no reason to consider it unethical.

How does bypassing AI content detection work?

Bypassing AI content detection may sound like a complex process, but it's actually a relatively straightforward concept. Here's how it works:

  • When you create content, it's important to ensure that it meets certain criteria in order to be considered high-quality by search engine algorithms. This can include factors such as keyword usage, sentence structure, and readability.
  • However, AI content detection algorithms can sometimes be overly strict in their assessments, leading to high-quality AI generated text being unfairly penalized.
  • Bypassing AI content detection involves using a bypass Turnitin AI detection software to rewrite your content in a way that meets the criteria of SERP algorithms while also ensuring that the content remains authentic and readable for human audiences.
  • This can involve techniques such as rephrasing sentences, changing the order of paragraphs, and adjusting keyword usage.
  • The goal of bypassing AI content detection is not to create spammy or low-quality content, but rather to ensure that your produce high-quality content is not unfairly penalized by overly strict algorithms.

In short, bypassing AI content detection involves using an Undetectable AI tool to adjust your content in a way that meets the criteria of search engine algorithms while still providing value to human readers. By doing so, you can ensure that your content is seen by more people and is not unfairly penalized by AI content detection algorithms.

Will bypassing AI content detection guarantee me top rankings?

Bypassing AI content detection can certainly improve your chances of ranking higher in search results, but it's important to understand that it is not a guarantee. Here's a closer look at why:

  • While AI detection is an important factor in search engine rankings, it is not the only factor. Other factors like backlinks, domain authority, and user engagement also play a significant role.
  • Bypassing AI content detection can help you create content that is both engaging for your audience and optimized for search engines. This can increase your chances of ranking higher in search results for relevant keywords.
  • However, it's important to remember that search engines like Google are constantly updating their algorithms to ensure that the most relevant and high-quality content is displayed at the top of search results. So, even if you bypass AI content detection and create great content, it still needs to meet other criteria to rank at the top of search results.
  • Additionally, it's important to avoid using unethical tactics to avoid AI detection. Search engines penalize websites that use tactics like keyword stuffing or hidden text to try to manipulate their rankings.

In summary, bypassing AI detection can certainly improve your chances of ranking higher in search results, but it's not a guaranteed path to the top. It's important to focus on creating high-quality, engaging content that meets all the criteria search engines look for and to avoid unethical tactics that could hurt your rankings in the long run.

What are the potential consequences of not bypassing AI content detection?

AI detection has become integral to search engines' ranking algorithms. Ignoring this crucial aspect can lead to dire consequences for your website's search engine rankings. Here are some potential consequences of not bypassing AI detection:

  • Poor rankings: If your content fails to pass AI detection, search engines may not rank it high on their results page, which can lead to a significant loss of organic traffic and revenue.
  • Lower website authority: If your website consistently features low-quality, poorly written content, it can harm your website's overall authority, which can negatively impact your website's rankings and visibility.
  • Reduced user engagement: Poor quality content can also result in reduced user engagement, leading to higher bounce rates and lower click-through rates.
  • Negative reputation: If your website is known for low-quality content, it can harm your reputation and brand image, resulting in lower trust and credibility among users.
  • Potential penalties: In extreme cases, search engines may penalize your website for producing low-quality content or using black hat SEO techniques, leading to even lower rankings and potentially irreversible damage to your website's reputation.

In summary, failing to bypass AI content detection can result in poor search engine rankings, lower website authority, reduced user engagement, a negative reputation, and potential penalties from search engines. It's essential to prioritize high-quality, authentic content that passes AI content detection to ensure your website's success in the long run.

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Experience the Magic of Authentic Content with Our Bypass Feature

Are you tired of feeling like the limitations of AI algorithms are stifling your content? Do you long for the days when writing was an art, not a science? Well, now you can experience the magic of authentic content with our powerful bypass feature.

Our feature is the key to unlocking the true potential of your content. By bypassing AI detection, you can create authentic, engaging and original content that truly resonates with your audience. No more feeling like you're AI writing for robots - with our bypass feature, you can write from the heart and create content that's truly yours.

The magic of authentic content lies in its ability to connect with people on a deeper level. When you write authentically, you're not just communicating information - you're telling a story, sharing a piece of yourself, and inviting your audience to join you on a journey.

So, if you're ready to experience the magic of authentic content and take your writing to the next level, look no further than our powerful bypass feature. It's the key to unlocking your creativity, connecting with your audience, and achieving real results.

How often should I use a bypass AI detection tool?

Using a bypass AI detection tool can be a game-changer for your website's rankings. However, knowing how often to use it can be a bit of a challenge. Here are some things to consider with bypass ai detection tools:

  • It depends on how much content you are producing: If you're producing a large amount of content on a regular basis, it may be worth using the Undetectable AI tool more frequently. On the other hand, if you only produce content sporadically, using the AI content bypass tool less frequently may be more appropriate.
  • Consider the type of content you produce: Certain types of content may require more frequent use of the Bypass AI tool. For example, if you produce a lot of technical content or content in a highly competitive niche, using the bypass AI detect tool more frequently may be necessary to stay ahead of the competition.
  • Balance between quality and quantity: While using a bypass AI content detection tool can improve your rankings, it's important to ensure that the AI content undetectable you produce is still high-quality and engaging for your readers. Using the undetectable content tool too frequently may result in robotic content and lacking personality.

Ultimately, the frequency of using bypass AI content detectors is a decision that should be based on your individual circumstances. It's important to find the right balance between using the tool enough to improve your rankings but not so much that it negatively impacts the quality of your undetectable content.

Are there any risks associated with using a bypass AI detection tool?

When it comes to using bypass AI content detectors, there may be some risks to keep in mind. Here are some potential risks to be aware of:

  • Loss of authenticity: Depending on the tool, there is a possibility that the content produced may not accurately represent your brand's voice or messaging, leading to a loss of authenticity.
  • Overuse: Using a bypass tool too frequently can also be risky, as search engines may detect a pattern of unnatural content, leading to penalties or lower rankings.
  • Inaccuracy: While bypass advanced AI detectors can be effective, they may not always produce accurate or high-quality text. Reviewing the output carefully is essential to ensure it meets your standards.
  • Ethical concerns: Some may argue that using a bypass tool is unethical as it involves trying to deceive search engines with artificially generated AI written content.

While there are risks associated with using a bypass AI content detection tool, they can be minimized by choosing a reputable tool, using it judiciously, and carefully reviewing the output. Ultimately, it's up to individual businesses to weigh the risks and benefits and make an informed decision about whether or not to use such a tool.

What types of content can be bypassed by AI content detection?

In today's digital age, content is king, and creating high-quality content that ranks well in search engines is critical to the success of any website. However, as SERP algorithms become increasingly sophisticated, AI detection technology has become an essential tool to ensure that your content meets the standards set by SERP.

Here are some key points to consider regarding the types of content that can be bypassed by AI written content detection:

  • AI written content detection technology is designed to detect and penalize content deemed low-quality, irrelevant, or spammy.
  • AI can detect common types of content including keyword stuffing, duplicate content, and poorly written content or lacking depth.
  • It's important to note that not all content can be bypassed by AI detection systems. Quality content that is well-researched, informative, and engaging is still essential to ranking well in SERP.
  • Bypassing AI detection does not mean compromising on the quality of your content. Rather, it's about using natural language processing technology to ensure that your content meets the standards set by SERP while maintaining its authenticity and readability.

In summary, while AI detection technology can be a powerful bypass AI detect tool in helping to ensure that your content meets the standards set by search engines, it's important to keep in mind that creating high-quality content is still essential to the success of your website. By using bypass AI detectors, you can maintain the integrity of your content while improving its visibility and reach.

Are there any best practices for using a bypass AI content detection tool?

When it comes to the AI writing this, one of the most important things to keep in mind is to avoid sounding repetitive. Repetitive content can be boring and may not be engaging enough for the audience to read.

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  • Vary sentence structure: Varying the structure of your sentences can help keep your content interesting and engaging. Try using different sentence lengths and structures to keep the reader engaged.
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By following these tips, you can create ai written content, that is engaging, informative, and not repetitive. Remember, the key is to keep things interesting and keep the audience engaged throughout the content.

Create Winning Content That Appeals to Humans and Algorithms Alike

Writing content that appeals to both humans and algorithms can be a daunting task. It can feel like you're constantly choosing between writing for people or writing for machines. But what if there was a way to create winning content that appeals to both? With our powerful tool, you can do just that.

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What are the benefits of using the bypass AI content detection tool?

Using bypass AI content detectors has become increasingly popular in recent years, especially with the rise of search engine optimization (SEO) content and the importance of high-quality content. Here are some of the key benefits of using such a bypass AI detect tool:

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What features should I consider for choosing the best bypass AI detection tool?

When it comes to choosing bypass AI content detectors, there are several factors to consider. Here are some of the features that you should keep in mind before making a final decision:

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Which technologies are used by bypass AI content detection tool?

Bypass AI detectors are designed to help content creators to overcome the limitations of AI content detection algorithms. These AI tools utilize various technologies to make sure the content created can bypass the detection algorithms and rank higher in search engine results. Some of the technologies used by bypass AI content detection tools include:

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Who can use a bypass AI detection tool?

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Say Yes to Natural, High-Quality Writing with AI Bypass Technology

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What are the most common mistakes that I should avoid while using a bypass AI detection tool?

When it comes to using a bypass AI detector tool, there are inevitable mistakes that you should avoid to get the most out of the tool. Here are some of the most common mistakes to avoid:

  • Not understanding the tool's purpose: It's important to understand that the bypass AI detector tool is designed to help you create content that can bypass automated content detection algorithms. If you don't know what you're trying to achieve, you may end up using the tool incorrectly or in a way that doesn't benefit you.
  • Relying too heavily on the tool: While the bypass AI content detection systems can be incredibly useful, it's important to remember that it's not a magic bullet. You still need to create high-quality AI generated text that is relevant to your audience in order to be successful. Don't rely solely on the tool to do the work for you.
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  • Using the tool without testing: Before using the bypass AI content detection tool on your website, test it on a small scale to ensure it works properly. This can help you avoid any issues or problems arising when using the tool on a larger scale.

In summary, using a bypass AI content detection tool can be incredibly beneficial for your website's SEO. Still, it's essential to use the tool correctly and avoid common mistakes to get the best results.

What types of businesses or industries can benefit from using a bypass AI content detection tool?

Bypassing AI detection can be beneficial for various types of businesses and industries that create online content. Here are some examples:

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  • Health and wellness businesses: Businesses that provide health and wellness products and services can benefit from using a bypass AI content detection tool to create informative and engaging content that helps their customers make informed decisions about their health.
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What are the pros and cons of using a bypass AI content detection tool?

Bypass AI detectors have become increasingly popular in recent years, as businesses and content creators look for ways to optimize their online presence and avoid being penalized by search engines. Here are some of the pros and cons of using such AI tools:

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In summary, bypass AI content detection software can be a useful tool for businesses and content creators looking to optimize their online presence and improve their search engine rankings. However, they also carry ethical concerns and the risk of penalties, and their effectiveness is not always guaranteed. It is important to weigh the pros and cons carefully and use such AI writing tools responsibly.

What are the potential consequences of not using a bypass AI content detection tool?

AI content detection has become an essential part of online content creation and publishing. Search engines, social media platforms, and other online services use AI algorithms to identify and filter out low-quality or spammy content. As a result, content creators must ensure that their content meets specific quality standards to avoid being penalized or ignored by these platforms.

If you don't use an AI content bypass tool, you risk the following consequences:

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  • Negative brand image: If your content is consistently flagged as spammy or low-quality, it can damage your brand's reputation and credibility in the eyes of readers and potential customers.
  • Decreased revenue: Poor-quality AI generated content is less likely to drive traffic or generate leads, ultimately leading to lower revenue for your business.

In contrast, using a bypass AI content detection free tool can help you avoid these consequences by ensuring that your content meets the necessary quality standards. However, it's important to consider such tools' potential drawbacks and limitations.

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Are your AI-generated articles being detected by the toughest AI-detectors like GPTZero, ZeroGPT, or ContentAtScale? With Rewrite as Human, you can take the guesswork out of content creation and rewrite your articles to avoid detection in a single click.

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Smodin’s AI Content Detection Remover

Smodin’s AI content detection remover uses a sophisticated rewriting technology that intelligently analyzes AI-generated content and restructures it while preserving its original meaning and coherence. We use advanced natural language processing algorithms, that paraphrase and rephrase your AI-generated content, making it more human-like and less recognizable by AI detection systems.

Recommended Usage and Tips for AI Content Detection Remover

Quality Input : Start with well-structured, grammatically correct, and accurate prompts. This ensures that the rewriting process maintains the integrity of your original message.

Review and Edit : While our tool is highly effective, you get the best results when you review the rewritten content for accuracy, tone, and consistency. Make necessary adjustments as you see fit.

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Smodin’s AI Content Detection Remover provides users with a powerful solution for maintaining the creative essence of AI-generated content while bypassing AI detection software and tools. Our tool expertly restructures and rewrites your content, making it less recognizable as AI-generated while preserving its unique insights and ideas. Moreover, manually rewriting AI-generated content can be a time-consuming and labor-intensive process. This tool streamlines this task, allowing you to focus on other essential aspects of writing, including feeding better prompts, checking for accuracy, finding the right references, etc.

How to Avoid AI Plagiarism Detection

We have the solution to avoid AI detection: the recreate method. In the world of ChatGPT and large language models, AI writing is a must-have tool in your tool belt. However, there are ways to successfully detect AI generated content, and the only way to automatically prevent it is with a model trained on thousands of samples of human written data... and that is exactly what Smodin's recreate method is. Smodin's recreate method eliminates all AI detection methods in a single click, allowing you to efficiently create any content you need. There are situations, however, when text written by AI is too generic to be written by a human; for these situations it is recommended to generate a new text or make more than one attempt to produce a human-sounding text.

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AI content detection is determining if a text is written by AI based on the randomness of the words. AI writing models tend to have a specific way of producing text based on the most frequent word orders. Is your text produced by an AI? Find out below!

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Teaching Connections

Advancing discussions about teaching, harnessing the potential of generative ai in medical undergraduate education across different disciplines – a comparative study on performance of chatgpt-3.5 and gpt-4 in physiology and biochemistry modified essay questions.

Nathasha LUKE 1 , LEE Seow Chong 2 , Kenneth BAN 2 , Amanda WONG 1 , CHEN Zhi Xiong 1,3 , LEE Shuh Shing 3 , Reshma Taneja 1 , Dujeepa D. SAMARASEKARA 3 , Celestial T. YAP 1

1 Department of Physiology, Yong Loo Lin School of Medicine (NUSMed) 2 Department of Biochemistry, NUSMed 3 Centre for Medical Education (CenMED), NUSMed

Editor’s Note: Natasha and her co-authors share a summary of the findings from the study they presented at HECC 2023 under the sub-theme “AI and Education”.

NathashaLuke et al - anchor pic

Nathasha presenting her team’s study during HECC 2023.

Introduction

Generative artificial intelligence (AI) is becoming an integral part of modern-day education. ChatGPT passing medical examinations (Kung et al., 2023, Subramani et al., 2023) and solving complex clinical problems (Eriksen et al., 2023) displayed its potential to revolutionise medical education. The capabilities and limitations of this technology across disciplines should be identified to promote the optimum use of the models in education. We conducted a study evaluating the performance of ChatGPT in modified essay questions (MEQs) in Physiology and Biochemistry for medical undergraduates.

Answer Generation, Assessment, and Data Analysis

The modified essay questions were extracted from Physiology and Biochemistry tutorials, and case-based learning scenarios. 44 MEQs in Physiology and 43 MEQs in Biochemistry were encoded into GPT-3.5 to generate answers. Each response was graded by two examiners independently, guided by a marking scheme. The examiners also rated the answers on concordance, accuracy, language, organisation, and information and provided qualitative comments. Descriptive statistics including mean, standard deviation, and variance were calculated in relation to the average scores and subgroups according to Bloom’s Taxonomy. Single factor ANOVA was calculated for the subgroups to assess for a statistically significant difference.

Subsequently, a subgroup of 15 questions from each subject was selected to represent different score categories of the GPT-3.5 answers. Answers were generated in GPT-4 and graded similarly.

The answers generated in GPT-3.5 ( n = 44) obtained a mean score of 74.7 (SD 25.96) in Physiology. 16/44 (36.3%) of the answers generated in GPT-3.5 scored 90/100 marks or above. 29.5%, numerically 13/44, obtained a score of 100%. There was a statistically significant difference in mean scores between the higher-order and lower-order questions on the Bloom’s Taxonomy ( p < 0.05). Qualitative comments commended ChatGPT’s strength in producing exemplary answers to most questions in Physiology, mostly excelling in lower-order questions. Deficiencies were noted in applying physiological concepts in the clinical context.

NathashaLuke-Fig1

Figure 1 . Distribution of scores of answers generated in GPT-3.5. 

The 15 Physiology questions answered by GPT-3.5 and GPT-4 had mean scores of 59.2 (SD 32.04) and 68.6 (SD 29.77) respectively. For the 15 Biochemistry questions, the mean score for GPT-3.5 was 59.33 (SD 29.08), and for GPT-4 was 85.33 (SD 18.48). The increase in GPT-4 scores was statistically significant in Biochemistry ( p = 0.006), but not in Physiology ( p = 0.4)

Our study showcases the potential of generative AI as a helpful educational resource. However, the current generative AI technology is not at a standpoint to be the sole educational resource, as performance is sub-optimal in most of the questions. The responses are either incomplete or contain errors, particularly in the domain of applying concepts in the clinical context. The wise use of generative AI as an adjunct to other resources will augment the learning process. Students and educators should be aware of the potentials and weaknesses of generative AI technologies in their own disciplines. One strategy would be to get students to generate the initial draft from generative AI, critically analyse the responses, and based on their analysis, strive towards improving their application of disciplinary knowledge. In addition, educators will have to revise certain educational tools to ensure that course objectives are still met in the generative AI era. This technology should be incorporated into learning pedagogies where appropriate.

Our study demonstrates the differential performance of ChatGPT across the two subjects. The performance of language models largely depends on the availability of training data; hence the efficacy may vary across subject areas. Subject and domain-specific training focusing on areas of deficiencies will enhance the performance of language models.

Overall, GPT-4 performed better than GPT-3.5 in the subset of questions tested. The users should know the potentials and limitations of each type as well as iterations of generative AI to promote optimum adoption of the technology.

Acknowledgments

We would like to thank the examiners who took their time to grade the ChatGPT responses. We would like to thank CDTL for their support and the Teaching Enhancement Grant (TEG) which financially supported our project.

Eriksen, A. V., Möller, S., & Ryg, J. (2023, December 11). Use of GPT-4 to diagnose complex clinical cases. NEJM AI, 1 (1). https://doi.org/10.1056/aip2300031

Kung, T. H., Cheatham, M., Medenilla, A., Sillos, C., De Leon, L., Elepaño, C., Madriaga, M., Aggabao, R., Diaz-Candido, G., Maningo, J., & Tseng, V. (2023, February 9). Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models. PLOS Digital Health, 2 (2), e0000198. https://doi.org/10.1371/journal.pdig.0000198

Subramani, M., Jaleel, I., & Krishna Mohan, S. (2023, June 1). Evaluating the performance of ChatGPT in medical physiology university examination of phase I MBBS. Advances in Physiology Education, 47 (2), 270–71. https://doi.org/10.1152/advan.00036.2023

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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.

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*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.

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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.

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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.

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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.

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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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Subscribe to our newsletter to keep up with Meta AI news, events, research breakthroughs, and more.

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  • Business and industry
  • Business regulation
  • Competition

CMA seeks views on AI partnerships and other arrangements

Invitation to comment launched by the CMA on the partnerships between Microsoft and Mistral AI, and Amazon and Anthropic, and Microsoft’s hiring of former employees and related arrangements with Inflection AI.

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  • CMA invites comments on the partnerships between Microsoft / Mistral AI and Amazon / Anthropic and Microsoft’s hiring of former employees and related arrangements with Inflection AI
  • CMA has not formed any conclusions on whether the deals fall within UK merger rules or raise competition concerns in the UK

The Competition and Markets Authority (CMA) has today opened invitations to comment (ITCs) for interested third parties to give their views on whether the partnerships between Microsoft and Mistral AI, and Amazon and Anthropic, as well as Microsoft’s hiring of former employees and related arrangements with Inflection AI, fall within UK merger rules and the impact that these arrangements could have on competition in the UK.  

The ITCs, which are the first part of the CMA’s information gathering process, come in advance of the launch of formal Phase 1 reviews. An ITC does not start the formal Phase 1 review, nor does it necessarily mean the CMA has jurisdiction.

The announcement today follows a recent report published by the CMA which outlines 3 key interlinked risks to open, fair and effective competition in the markets for AI Foundation Models (FMs) – specifically, concerns that partnerships involving key players could be exacerbating existing positions of market power through the FMs value chain.

In its report, the CMA identified an interconnected web of over 90 partnerships and strategic investments involving the same firms. Though these partnerships have the potential to bring pro-competitive benefits, the CMA remains vigilant against the possibility that incumbent technology firms could use partnerships and investments to shield themselves from competition.

As outlined in the report, not all partnerships or arrangements will fall within the merger rules. Where the CMA considers that a partnership and/or arrangement may fall within UK merger rules and may give rise to competition concerns in the UK, the CMA may open an investigation to assess these.

The CMA is now inviting views by Thursday 9 May on whether the partnerships and other arrangements between Microsoft and Inflection AI, Amazon and Anthropic, and Microsoft and Mistral AI result in the creation of relevant merger situations and, if so, the impact of these deals on competition in the UK.

Joel Bamford, Executive Director of Mergers at the CMA, said:  

Today we’re inviting comments into the partnerships between Microsoft and Mistral AI, Amazon and Anthropic, and Microsoft’s hiring of former employees and related arrangements with Inflection AI. We will assess, objectively and impartially, whether each of these 3 deals fall within UK merger rules and, if they do, whether they have any impact on competition in the UK. Foundation Models have the potential to fundamentally impact the way we all live and work, including products and services across so many UK sectors – healthcare, energy, transport, finance and more. So open, fair, and effective competition in Foundation Model markets is critical to making sure the full benefits of this transformation are realised by people and businesses in the UK, as well as our wider economy where technology has a huge role to play in growth and productivity.   Given the global nature of these markets, competition authorities around the world are actively looking into AI. The CMA recently committed to step up the use of its merger control powers as part of its recent Foundation Models update. While we remain open minded, and haven’t drawn any conclusions, our aim is to better understand the complex partnerships and arrangements at play.

The CMA is also considering feedback received earlier this year on Microsoft’s partnership with OpenAI and is currently waiting for information it has requested from the firms. The CMA has not yet opened a formal Phase 1 review of the deal.

More information on the CMA’s investigations can be found on the Microsoft / Inflection AI arrangements , Amazon / Anthropic partnership , and Microsoft / Mistral AI partnership merger inquiry case pages.

Notes to editors:  

  • The CMA is continuing to closely monitor current and emerging AI partnerships and strategic agreements as part of its ongoing work to protect competition for the benefit of consumers and businesses.
  • The European Commission is assessing competition in ‘virtual worlds’ and generative AI and has called for information from several large digital players to ‘examine the market dynamics’ of partnerships in this space.
  • The Federal Trade Commission (FTC) has an ongoing inquiry into generative AI investments by technology companies , to assess whether these ‘investments and partnerships pursued by dominant companies risk distorting innovation and undermining fair competition’.
  • The ITCs are being issued ahead of launching formal Phase 1 reviews. The period prior to launching a formal Phase 1 review is known as pre-notification. During pre-notification, the CMA gathers the information it will need to carry out a formal Phase 1 review, including information from merger parties about their UK activities, data and internal documents. Once the CMA has sufficient information in relation to a transaction it will begin its formal Phase 1 review. The amount of time it takes to gather this information varies from case to case depending on the complexity of the issues and how quickly the parties provide the required information.
  • Under the CMA’s rules, a Phase 1 merger review must be completed within 40 working days.
  • Following a Phase 1 merger review, the CMA may conclude that the transaction in question is not a relevant merger situation and issue a ‘found not to qualify’ decision; find that the transaction is or may be a relevant merger situation, but does not raise competition concerns and issue a clearance decision; or find that the transaction is or may be a relevant merger situation and that it may result in a substantial lessening of competition, in which case the CMA can issue a decision referring the transaction for an in-depth Phase 2 review. Where the CMA issues a Phase 1 decision finding concerns, the merging parties can offer undertakings to try to resolve the CMA’s concerns at that stage to avoid a reference to Phase 2.
  • A relevant merger situation refers to a transaction that meets certain criteria under the Enterprise Act 2002 (the Act). A range of different kinds of transactions and arrangements may constitute a relevant merger situation, including, for example, the acquisition of a minority shareholding or, in some circumstances, the transfer of assets or employees or commercial arrangements such as outsourcing arrangements. Where the CMA investigates a transaction and concludes that it does not result in a relevant merger situation, the CMA would not have jurisdiction under its mergers powers to take further steps with respect to that transaction and would issue a ‘found not to qualify’ decision.
  • Phase 2 reviews last up to 24 weeks (extendable by up to 8 weeks in certain circumstances) and are led by an independent panel of experts.
  • Amazon.com, Inc. (Amazon) has entered into a partnership with Anthropic PBC (Anthropic) under which Amazon funded Anthropic by $1.25 billion (in September 2023) and by a further $2.75 billion (in March 2024). The partnership also includes agreements for purchasing computing capacity and non-exclusive commitments to make Anthropic models available on Amazon’s Bedrock service.
  • The CMA understands that Microsoft Corporation has hired Mustafa Suleyman CBE – prior to that arrangement, CEO and Co-Founder of Inflection AI – together with a significant number of other Inflection AI employees. At the same time, Inflection AI announced that, going forward, it would focus on its AI studio business for commercial customers.
  • Microsoft has entered into a partnership with Mistral AI, involving an investment by Microsoft in Mistral AI and a multi-year agreement through which Microsoft will supply Mistral AI with Microsoft’s Azure supercomputing infrastructure and Microsoft and Mistral will make Mistral’s models available on Microsoft’s Azure platform.
  • For media enquiries, contact the CMA press office on 020 3738 6460 or  [email protected] .

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Guest Essay

I Thought the Bragg Case Against Trump Was a Legal Embarrassment. Now I Think It’s a Historic Mistake.

A black-and-white photo with a camera in the foreground and mid-ground and a building in the background.

By Jed Handelsman Shugerman

Mr. Shugerman is a law professor at Boston University.

About a year ago, when Alvin Bragg, the Manhattan district attorney, indicted former President Donald Trump, I was critical of the case and called it an embarrassment. I thought an array of legal problems would and should lead to long delays in federal courts.

After listening to Monday’s opening statement by prosecutors, I still think the district attorney has made a historic mistake. Their vague allegation about “a criminal scheme to corrupt the 2016 presidential election” has me more concerned than ever about their unprecedented use of state law and their persistent avoidance of specifying an election crime or a valid theory of fraud.

To recap: Mr. Trump is accused in the case of falsifying business records. Those are misdemeanor charges. To elevate it to a criminal case, Mr. Bragg and his team have pointed to potential violations of federal election law and state tax fraud. They also cite state election law, but state statutory definitions of “public office” seem to limit those statutes to state and local races.

Both the misdemeanor and felony charges require that the defendant made the false record with “intent to defraud.” A year ago, I wondered how entirely internal business records (the daily ledger, pay stubs and invoices) could be the basis of any fraud if they are not shared with anyone outside the business. I suggested that the real fraud was Mr. Trump’s filing an (allegedly) false report to the Federal Election Commission, and that only federal prosecutors had jurisdiction over that filing.

A recent conversation with Jeffrey Cohen, a friend, Boston College law professor and former prosecutor, made me think that the case could turn out to be more legitimate than I had originally thought. The reason has to do with those allegedly falsified business records: Most of them were entered in early 2017, generally before Mr. Trump filed his Federal Election Commission report that summer. Mr. Trump may have foreseen an investigation into his campaign, leading to its financial records. He may have falsely recorded these internal records before the F.E.C. filing as consciously part of the same fraud: to create a consistent paper trail and to hide intent to violate federal election laws, or defraud the F.E.C.

In short: It’s not the crime; it’s the cover-up.

Looking at the case in this way might address concerns about state jurisdiction. In this scenario, Mr. Trump arguably intended to deceive state investigators, too. State investigators could find these inconsistencies and alert federal agencies. Prosecutors could argue that New York State agencies have an interest in detecting conspiracies to defraud federal entities; they might also have a plausible answer to significant questions about whether New York State has jurisdiction or whether this stretch of a state business filing law is pre-empted by federal law.

However, this explanation is a novel interpretation with many significant legal problems. And none of the Manhattan district attorney’s filings or today’s opening statement even hint at this approach.

Instead of a theory of defrauding state regulators, Mr. Bragg has adopted a weak theory of “election interference,” and Justice Juan Merchan described the case , in his summary of it during jury selection, as an allegation of falsifying business records “to conceal an agreement with others to unlawfully influence the 2016 election.”

As a reality check: It is legal for a candidate to pay for a nondisclosure agreement. Hush money is unseemly, but it is legal. The election law scholar Richard Hasen rightly observed , “Calling it election interference actually cheapens the term and undermines the deadly serious charges in the real election interference cases.”

In Monday’s opening argument, the prosecutor Matthew Colangelo still evaded specifics about what was illegal about influencing an election, but then he claimed , “It was election fraud, pure and simple.” None of the relevant state or federal statutes refer to filing violations as fraud. Calling it “election fraud” is a legal and strategic mistake, exaggerating the case and setting up the jury with high expectations that the prosecutors cannot meet.

The most accurate description of this criminal case is a federal campaign finance filing violation. Without a federal violation (which the state election statute is tethered to), Mr. Bragg cannot upgrade the misdemeanor counts into felonies. Moreover, it is unclear how this case would even fulfill the misdemeanor requirement of “intent to defraud” without the federal crime.

In stretching jurisdiction and trying a federal crime in state court, the Manhattan district attorney is now pushing untested legal interpretations and applications. I see three red flags raising concerns about selective prosecution upon appeal.

First, I could find no previous case of any state prosecutor relying on the Federal Election Campaign Act either as a direct crime or a predicate crime. Whether state prosecutors have avoided doing so as a matter of law, norms or lack of expertise, this novel attempt is a sign of overreach.

Second, Mr. Trump’s lawyers argued that the New York statute requires that the predicate (underlying) crime must also be a New York crime, not a crime in another jurisdiction. The district attorney responded with judicial precedents only about other criminal statutes, not the statute in this case. In the end, the prosecutors could not cite a single judicial interpretation of this particular statute supporting their use of the statute (a plea deal and a single jury instruction do not count).

Third, no New York precedent has allowed an interpretation of defrauding the general public. Legal experts have noted that such a broad “election interference” theory is unprecedented, and a conviction based on it may not survive a state appeal.

Mr. Trump’s legal team also undercut itself for its decisions in the past year: His lawyers essentially put all of their eggs in the meritless basket of seeking to move the trial to federal court, instead of seeking a federal injunction to stop the trial entirely. If they had raised the issues of selective or vindictive prosecution and a mix of jurisdictional, pre-emption and constitutional claims, they could have delayed the trial past Election Day, even if they lost at each federal stage.

Another reason a federal crime has wound up in state court is that President Biden’s Justice Department bent over backward not to reopen this valid case or appoint a special counsel. Mr. Trump has tried to blame Mr. Biden for this prosecution as the real “election interference.” The Biden administration’s extra restraint belies this allegation and deserves more credit.

Eight years after the alleged crime itself, it is reasonable to ask if this is more about Manhattan politics than New York law. This case should serve as a cautionary tale about broader prosecutorial abuses in America — and promote bipartisan reforms of our partisan prosecutorial system.

Nevertheless, prosecutors should have some latitude to develop their case during trial, and maybe they will be more careful and precise about the underlying crime, fraud and the jurisdictional questions. Mr. Trump has received sufficient notice of the charges, and he can raise his arguments on appeal. One important principle of “ our Federalism ,” in the Supreme Court’s terms, is abstention , that federal courts should generally allow state trials to proceed first and wait to hear challenges later.

This case is still an embarrassment, in terms of prosecutorial ethics and apparent selectivity. Nevertheless, each side should have its day in court. If convicted, Mr. Trump can fight many other days — and perhaps win — in appellate courts. But if Monday’s opening is a preview of exaggerated allegations, imprecise legal theories and persistently unaddressed problems, the prosecutors might not win a conviction at all.

Jed Handelsman Shugerman (@jedshug) is a law professor at Boston University.

The Times is committed to publishing a diversity of letters to the editor. We’d like to hear what you think about this or any of our articles. Here are some tips . And here’s our email: [email protected] .

Follow the New York Times Opinion section on Facebook , Instagram , TikTok , WhatsApp , X and Threads .

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  25. How teachers started using ChatGPT to grade assignments

    The teacher submits the essays to Writable, which in turn runs them through ChatGPT. ChatGPT offers comments and observations to the teacher, who is supposed to review and tweak them before sending the feedback to the students. Writable "tokenizes" students' information so that no personally identifying details are submitted to the AI program.

  26. Unessay- Gateway to Future Higher Education (HE) Assessments in an AI

    In retrospect, presenting my paper—"Unessay- Gateway to Future HE Assessments in an AI World?—at HECC 2023 stirred a whirlwind of emotions within me. The pedagogical approach I adopted was a leap, as it was a departure from conventional methods typically employed in communication tasks, particularly reflection essays.

  27. Harnessing the Potential of Generative AI in Medical Undergraduate

    Generative artificial intelligence (AI) is becoming an integral part of modern-day education. ChatGPT passing medical examinations (Kung et al., 2023, Subramani et al., 2023) and solving complex clinical problems (Eriksen et al., 2023) displayed its potential to revolutionise medical education. ... The modified essay questions were extracted ...

  28. Introducing Meta Llama 3: The most capable openly available LLM to date

    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.

  29. CMA seeks views on AI partnerships and other arrangements

    Invitation to comment launched by the CMA on the partnerships between Microsoft and Mistral AI, and Amazon and Anthropic, and Microsoft's hiring of former employees and related arrangements with ...

  30. Opinion

    Guest Essay. I Thought the Bragg Case Against Trump Was a Legal Embarrassment. Now I Think It's a Historic Mistake. ... to create a consistent paper trail and to hide intent to violate federal ...