make my essay less ai

Elevate AI to Human Perfection

Bypass ai detection with the world's most powerful ai humanizer..

Humanize AI text in three easy steps:

Copy ai-generated text, paste into writehuman.ai, click write human to humanize ai text, bypass ai detection with writehuman.

Effortlessly Humanize AI Text

Protect your ai privacy with real undetectable ai.

Choose the plan that's right for you .

Built-in AI Detector for Ultimate Al Bypass

Humanize ai text, built-in free ai detector, create undetectable ai, ai to human text, quality humanizer output, leading anti-ai detector, ai writing that resonates. humanize ai with writehuman..

Frequently Asked Questions

Recent ai humanizer posts.

How To Leverage AI Humanizer Tools for a More Productive Workflow

The Ultimate AI to Human Text Converter That Will Take Your Writing to the Next Level

Is AI Writing Superior? Discover How AI Humanizers Can Improve Your Writing

How it works: mastering the art of undetectable ai writing with writehuman, understanding ai writing detection, bypass ai detection with natural language processing (nlp), humanize ai text to craft content at scale, bypassing ai detectors and humanize ai text, the magic of rewriting and originality, from ai to human: the best ai humanizer., humanize ai and create quality ai writing.

© 2024 WriteHuman, LLC. All rights reserved.

Get the most out of Smodin.io

Ai content detector.

Feel confident your text isn't detectable by AI with our 95% accurate AI Content Detector.

Author (AI Writer)

Let our AI writer write your next essay, article, paragraph, or anything else.

Plagiarism Checker

Feel confident that your text is unique with our plagiarism checker.

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.

Iterative Rewriting : In some cases, it might be beneficial to rewrite the content multiple times to reduce the chances of AI detection further. Experiment with different iterations to find the best version.

Why you should use AI content detection remover?

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.

Check Text for Plagiarism

After you rewrite your text, you should make sure that the text passes plagiarism detection. Use our multi-lingual plagiarism detection application to quickly check the text for plagiarism!

What is AI Content Detection?

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!

Other Supported Languages

© 2024 Smodin LLC

• Press enter for Accessibility for blind people who use screen readers
• Press enter for Keyboard Navigation
• Press enter for Accessibility menu

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 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, why choose undetectable ai.

• (af) Afrikaans
• (ar) Arabic
• (bg) Bulgarian
• (bn) Bengali
• (ca) Catalan
• (da) Danish
• (de) German
• (en) English
• (es) Spanish
• (et) Estonian
• (fa) Persian
• (fi) Finnish
• (fr) French
• (gu) Gujarati
• (hr) Croatian
• (hu) Hungarian
• (id) Indonesian
• (it) Italian
• (ja) Japanese
• (kn) Kannada
• (ko) Korean
• (lt) Lithuanian
• (lv) Latvian
• (mk) Macedonian
• (ml) Malayalam
• (mr) Marathi
• (ne) Nepali
• (no) Norwegian
• (pa) Punjabi
• (pl) Polish
• (pt) Portuguese
• (pt_br) Brazilian Portuguese
• (ro) Romanian
• (ru) Russian
• (sk) Slovak
• (sl) Slovene
• (so) Somali
• (sq) Albanian
• (sv) Swedish
• (sw) Swahili
• (te) Telugu
• (tl) Tagalog
• (tr) Turkish
• (uk) Ukrainian
• (vi) Vietnamese
• (zh-cn) Chinese (Simplified)
• (zh-tw) Chinese (Traditional)

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.

How to Make AI Writing Undetectable: A Complete Guide

By this point in the history books, you've probably realized ChatGPT , Claude, Perplexity, and all the other AI writing & research tools are amazing. Every time I use them I'm mind blown.

Over the last year and a half, we’ve seen a technical revolution similar to when the Internet came out. OpenAI, the company behind the first major revelation, continues to ship groundbreaking products across the AI world and isn't showing any signs of slowing down.

Their most recent updates, GPT-4 and Claude 3 , are some of the most powerful NLP models ever created. They're capable of producing writing with quality even better than human writers/

If this is true, has AI writing reached the point where it’s now completely undetectable and indistinguishable from human writing? Not quite…

The same way AI tools generate writing is actually the exact opposite method of how it’s detected.

AI detection tools like Originality and Content at Scale try to reverse engineer the writing you enter to see how similar it would be to an AI tool like ChatGPT having to rewrite it.

So, what’s the solution?

You have to use words and structure sentences in a way that an AI writing generator wouldn’t use. You can't definitively predict AI text. There's no watermark that gets left behind to prove anything (unlike how plagiarism checkers show you the exact content somebody stole from).

With AI detection, it's just a bunch of words. But for now, AI still writes at a level that can be somewhat predicted, at least if the vocabulary and sentence scrambling aren't too complex.

If you're trying to make your AI writing undetectable, there's a few things you could do to help get around these somewhat faulty detection tools.

How to Make AI Writing Undetectable & Bypass Detection

A few sneaky tools like Undetectable AI make it fairly easy to remove obvious AI-written text from tools like ChatGPT, Claude, Gemini, Perplexity, etc (really any kind of AI writing software).

These undetection tools all combine machine learning algorithms and natural language processing techniques to identify patterns in the text and then get rid of them... aka making it more natural.

While it may be tempting to use AI to breeze through assignments or work tasks, it's important to be mindful of the potential consequences. Please don't do anything unethical or illegal. Only use these tools if it's ethical of you to do so!

Using AI Writing Scrambling Tools

AI has led to tools that hide AI-written text better. They shuffle words, rephrase sentences, and use synonyms. For example, "Exercise improves heart health" becomes "Heart health gets better with regular activity." This keeps the meaning but seems more human. It confuses detection tools by mimicking human writing's variety and style.

Undetectable.ai

The first tool I highly recommend is Undetectable.ai . It helps you change your content to suit various writing styles, such as essays, general writing, marketing material, and more.

To use Undetectable AI, simply paste your text into the tool, and choose the appropriate readability level and tone for your specific writing style.

Once you click the "Humanize" button, the service will work its magic, converting your AI-generated content into text that is not only coherent and engaging but also indistinguishable from human-written material. If you're looking for a more SEO-focused readability approach, you should check out their AI SEO writer .

I took a ChatGPT response about pizza and rephrased it. Check it out:

And look how it did when I threw it in Copyleaks .

Make sure to reread the content. Sometimes, the rephrasing inserts synonyms and styles that don't actually make sense given the context of the writing, but that's just a trade-off you have to deal with when working with a tool like this.

I'm just saying these tools should always be used as an assistant, not a replacement. But for an automatic tool, Undetectable is AMAZING. It starts at $15/month for 15,000 words. You also get a free trial to test things out before deciding if it's worth it or not

I also can't emphasize enough the need to use this service (and the others below) responsibly and ethically. Don't submit anything that could get you in trouble if you're not allowed to.

Next on the list is.... HideMyAI.

While HideMyAI takes a little bit longer to process text & doesn't come with as much complexity, you're still able to get some amazing undetectable content in a matter of seconds.

It works the same but scrambles your text rather differently. Just paste any section of ChatGPT-generated writing into the tool and check it out:

New result reads very well. But how does it do when we put it back into the detector? Pretty damn impressive. Not a single trace. Copyleaks also got a "human-generated" score.

Tweak Sentence Syntax

Once you've thrown the writing in one of those tools, it's time to do some manual labor.

You just have to modify the sentence syntax. This involves adjusting the arrangement of words and phrases in a sentence, as well as the relationships between them.

This will create subtle variations in the structure of your text, making it harder for AI detection tools to identify patterns that are characteristic of machine-generated content, kind of similar to what QuillBot offers.

Doing this manually is similar to what we spoke about earlier but requires a lot more personal fine tuning (a software won't do this as extensively as the human eye).

Try switching between active/passive voice, changing vocab, etc. Just make it seem realistic! It might seem annoying to do, but if you're getting something done with ChatGPT in a matter of seconds, you could spend a few minutes going through your writing to make sure it looks like you actually wrote it.

You should also be utilizing a diverse range of sentence lengths and structures. In natural human writing, it's common to find a mix of short and long sentences, as well as a blend of simple, compound, and complex structures. Just match it with your own writing style.

You can mimic the rhythm and cadence of human writing to a waaaay larger degree in just a few tweaks. Readability is key!!!

Use Higher Level Vocabulary

Another great technique for making AI-generated content less detectable is to incorporate higher-level vocabulary into your writing. This not only elevates the quality of your content but also helps to obscure the telltale signs that it was produced by an AI.

To use higher-level vocabulary, consider replacing common or overused words with more precise or specialized terms. For instance, instead of using the word "important," you could opt for "crucial," "pivotal," or "indispensable."

Likewise, you can employ technical jargon or industry-specific terminology when discussing a particular subject, which lends credibility and depth to your content. Tools like QuillBot are actually perfect for this, they let you paragraph word by word & sentence by sentence until you're happy with your new paragraph.

Keep in mind that while using advanced vocabulary can make your writing more human-like, you need to find a balance between sophistication and readability (I'm assuming you'll have real humans read this somewhere, right?!)

Your content should remain accessible and engaging to your target audience, so avoid using obscure words that might confuse or alienate readers. Always keep in mind user intent, it wouldn't be worth over sophisticating your text if you are writing an article for 5th graders just for the sake of bypassing AI detection.

In addition to higher-level vocabulary, you can also make use of synonyms and paraphrasing to add richness to your content. This approach not only helps to mask the AI-generated nature of your text but also improves its overall flow and cohesion.

By diversifying your word choice and experimenting with different ways to express your ideas, you can create a more dynamic and compelling piece of writing that effectively evades detection by AI analysis tools while still naturally getting your point across.

Final Thoughts & Advice

Ever since these writing tools have become so popular, transforming AI-generated content into text that is indistinguishable from human-written material has been a fascinating and increasingly relevant topic.

Throw your writing into a tool like Undetectable or HideMyAI , do some manual editing, and you'll be good in a matter of minutes.

We've just entered a crazy world, and we're only at the beginning of a road. It'll be an interesting few years, for sure. Leave us a comment on your favorite tool and what works best for you!

Related Articles

MyWords.AI the #1 AI tool for students

The ultimate homework helper ai detector ai essay generator ai humanizer.

Do   your   work   leaving   zero   traces   of   AI

Welcome to the Future of Learning!

Complete assignments with ease.

Effortlessly craft well-structured and insightful assignments with zero traces of AI

• Content Rewriter

Rewrite your content to avoid AI score detection and plagiarism.

Multi-Lingual

Ability to understand and generate content in different languages

AI Detection

Put your assignments through our AI detector to asses AI involvement accurately.

Turn AI written content to Human-written content Intelligent Writing Assistant

Humanize you assignments.

Humanizer is designed to help you turn AI written content to high-quality human-written texts instantly, without breaking a sweat. With our intuitive interface and powerful features, you can easily edit, export or publish your AI-generated result.

Generate, edit, export.

Powered by MyWords.ai

Say goodbye to writer’s block AI

Intelligent writing assistant.

Experience effortless content creation with our AI Assignment Generator. Whether your competing essays or busy work, we’ll craft well-structured assignments on any topic without writer's block leaving no traces of AI. Elevate your writing game today!

Transforming Videos into Comprehensive Notes Effortless Summarization for YouTube, Lectures, PDFs, and more!

Video summarizer.

Experience streamlined note-taking with our Video Summarizer tool. Whether from YouTube, lectures, or PDFs, our AI condenses information into easily digestible notes. Enhance efficiency and retain insights effortlessly.

Note taking made easy!

Your Ultimate Note-Taking Companion

Testimonials Trustpilot

Trusted by millions of students.

Livvy Dunne

High school Student

Eric Sanchez

“With social media, school, and my sport, it is definitely hard to find time. MyWords.ai is so helpful with all my school work so I definitely recommend!”

“It's called MyWords.ai, and it has a dedicated essay writer that sounds more natural, is a lot less bare bones, and it includes in-text citations. That is noticeably better than GPT. AI is getting scary.”

“MyWords.ai is the only AI tool you need as a student. Complete all your assignments before you even leave class, and no one will ever know that you used Ai.”

Premium Access

• 25000 Words / mo
• Complete Access to MyWords.ai
• AI Content Detector
• AI Essay Generator
• AI Humanizer
• AI Content Rewriter
• 25,000 Word Tokens
• 100 Image Tokens
• Access All Templates
• 300000 Words / Year
• 25000 Word Tokens
• 1200 Image Tokens
• 300,000 Word Tokens
• 1,200 Image Tokens

Safe Payment: Use Stripe or Credit Card.

FAQ Help Center

Have a question.

Our support team will get assistance from AI-powered suggestions, making it quicker than ever to handle support requests.

MyWords.Ai uses the most popular AI models such as GPT, Dall-E, Ada to create text, image, code and more within seconds. The process is simple. All you have to do is provide a topic or idea, and our AI-based generator will take care of the rest.

MyWords.ai utilizes advanced natural language processing and machine learning algorithms to aid in crafting well-structured and relevant content for assignments. By incorporating your input and ideas, it generates suggestions that you can integrate seamlessly into your work. The AI's assistance is designed to mimic your writing style and patterns, ensuring a consistent tone throughout the assignment. This careful integration helps maintain the authenticity of your work, making it difficult to discern any AI involvement.

Yes, MyWords.ai is proficient in working with a variety of languages, including but not limited to English, Spanish, French, German, Chinese, Japanese, Italian, Portuguese, Russian, Arabic, Dutch, and Korean. Its language capabilities extend to a wide range of familiar languages, ensuring that students can receive assistance in assignments regardless of the language they're working in.

Login Required for Access

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.

No tricks or gimmicks – our web app uses advanced rewriting algorithms to make sure your articles are undetectable. Achieve peace of mind that your content is unique and high quality, without sacrificing time spent on writing or manual editing.

Some people say AI content is okay’d by Google. Is it really though? By using AI to generate your content, this already contradicts Google’s EEAT. So who’s the one with expertise, experience, authoritativeness, and trustworthiness? You or GPT?

Rewrite As Human offers an easy solution for those looking for creating undetectable content. Stop worrying about duplicated content and start delighting your customers with original, high-quality pieces they won't find anywhere else. Try Rewrite As Human now to write like a human every time.

Create Amazing Essays in Seconds

Create high quality essays with real citations with writeless, start writing for free.

Simply enter your topic, and writeless will do the rest:

Revolutionary Features

What can you do on writeless , add citations in seconds, writeless adds real citations for you, in mla, harvard, apa, and chicago formats., write in your style, writeless' ai can sound just like you and match your tone of writing, high quality & quick, writeless writes college-level essays in any style and on any topic for you in seconds., 100% plagiarism-free, writeless is 100% plagiarism-free, and does not copy text from online, what do students think of writeless , frequently asked questions, try writeless for free today, start saving hours on essay writing with writeless.

Pass AI Content Detection

WordAi humanizes your content, improving its quality while allowing it to pass as human in AI detectors.

WordAi Works For Every AI Tool

Here are some real examples from just a few of the most popular AI writers and AI detectors before and after using WordAi:

Original ChatGPT AI generated content

Originality.ai Fail (see result)

OpenAI Fail (see result)

Hugging Face Detector Fail (see result)

Writer Fail (see result)

GPTZero Fail (see result)

ChatGPT text tested:

ChatGPT AI content rewritten by WordAi

Originality.ai Pass (see result)

OpenAI Pass (see result)

Hugging Face Detector Pass (see result)

Writer Pass (see result)

GPTZero Pass (see result)

ChatGPT + WordAi text tested:

Original Jasper AI generated content

Jasper text tested:

Jasper AI content rewritten by WordAi

Jasper + WordAi text tested:

Original Article Forge AI generated content

Article Forge text tested:

Article Forge AI content rewritten by WordAi

Article Forge + WordAi text tested:

Original Copy.AI AI generated content

Copy.AI text tested:

Copy.AI AI content rewritten by WordAi

Copy.AI + WordAi text tested:

Original Writesonic AI generated content

Writesonic text tested:

Writesonic AI content rewritten by WordAi

Writesonic + WordAi text tested:

All Of The Benefits Of AI With None Of The Downsides

Rank higher.

Content is key to ranking, and artificial intelligence lets you scale your SEO efforts and results. By humanizing your content with WordAi, you can reap all of the SEO benefits without having to worry about a Google penalty.

Increase Profits

AI lets you produce more content faster and with higher quality, allowing you to spend less and make more. By humanizing your content with WordAi, you can increase your margins while ensuring your clients are happy.

Superpower Yourself

AI is a force multiplier, allowing you to research, write, and proofread faster and more effectively. By humanizing your content with WordAi, you can safely spend less time working, with higher quality outputs.

Start your completely free 3-day trial today!

See for yourself how WordAi will transform your content strategy.

• Pass AI detection
• AI-powered rewriter
• Human quality content
• One click rewriting
• Rewrites pass Copyscape
• Sentence and phrase level rewriting
• Bulk article rewriting
• All standard features plus:
• High volume usage
• Increased throughput
• Multiple user accounts
• Customized rewrites
• Heightened quality
• Account manager

30-Day No Risk Money Back Guarantee

We are confident that WordAi will make your AI content pass AI detection, so we want to make sure there is absolutely no risk to try it. So, beyond our 3-day free trial, we also offer a no strings attached 30-day money back guarantee. If you use WordAi to rewrite less than 10 articles and find that it isn't the solution for you, just contact us and we'll give you a hassle-free refund with no questions asked!

Frequently Asked Questions

What ai content generators does this work with, what ai detection tools does this work with, what type of content does wordai work with, will every single article pass as human written, will this continue working in the future, does this tool also work for plagiarism detection, do you have an api for making text pass ai content detection.

The #1 AI Essay Expander

Sarah Matlack

Oct 26th, 2023

Unlock Your Potential with Mindgrasp: The Ultimate Essay Expander AI

Essays often feel like a mountain to climb, especially when you’re juggling studies, work, and personal life. But what if you could have a trusty guide to make the climb easier? Meet Mindgrasp, your go-to essay expander AI that streamlines the writing process. Imagine taking your basic essay outline and having Mindgrasp expand it into a well-crafted, detailed piece. It’s like magic, but backed by cutting-edge AI! 

Here’s how it works: Submit your essay draft, notes, or even bullet points. Mindgrasp scans all the info, understands the context, and starts building. It can expand essays by generating summaries, detailed notes, and even study guides. If you’re a student, this tool goes the extra mile by creating flashcards to help you remember key points. Professionals, you’re not left out—Mindgrasp tailors its features to cater to your industry-specific needs as well. So, whether you’re looking to ace that history paper or draft a winning business proposal, Mindgrasp has got your back.

Why choose Mindgrasp? It’s not just an essay expander; it’s a comprehensive tool designed to make your life simpler. It can handle multiple formats like lecture slides, YouTube videos, and research papers. That means you can pull in data from varied sources to make your essay robust and well-rounded. Plus, it offers a question-answer feature that clarifies any queries specific to your essay’s content. So if you’re stuck on a point or two, Mindgrasp will guide you through.  

Transform your essay writing experience with Mindgrasp. Say goodbye to stress and hello to efficiency. Let this essay expander AI be your smart companion in achieving top-notch essays, every time.

Expand Your Knowledge and Essay with Mindgrasp: The Ultimate Essay Expander Tool That Answers Your Questions

Ever found yourself stuck in the middle of an essay, not sure how to move forward? We’ve all been there, staring at the screen, thinking, “If only someone could answer this question for me.” That’s where Mindgrasp comes in as your go-to essay expander tool. Beyond just expanding your essay, Mindgrasp has a unique feature that allows you to ask any question about your essay topic. The AI then dives into the data you’ve uploaded, whether it’s a book, a lecture slide, or even a YouTube video, to provide you with a detailed answer.  

So, how does it work? Say you’re writing an essay on climate change, and you’re unsure about the impact of greenhouse gases. All you have to do is ask. Mindgrasp scans the resources you’ve uploaded, finds the relevant information, and gives you a clear answer. This feature is particularly great for those looking to build a strong argument or dive deeper into a topic. You get to understand the nuances better, making your essay much more compelling.

Think of Mindgrasp as your expand essay generator that does more than just stretch your words. It equips you with the knowledge and confidence to write a better essay. Students can enrich their academic papers, and professionals can create more robust reports. No more late-night stress or frantic Googling. With Mindgrasp, you’re just a question away from a more in-depth and comprehensive essay. Say goodbye to writer’s block and hello to clarity and depth!

Elevate Your Writing with Mindgrasp: The AI Essay Expander That Makes Your Essay Coherent and Scholarly

Whether you’re a student aiming for that A+ or a professional striving for success, writing plays a key role. But what if you could make your essay not just good, but great? That’s where Mindgrasp, the revolutionary AI essay expander, comes into play. Designed to cater to both students and working professionals, Mindgrasp is more than just an expanding essay tool. It’s your one-stop solution for creating coherent and scholarly essays that impress and inform.  

For students, Mindgrasp can take your rough draft or even a list of ideas and expand it into a detailed and well-structured essay. You can upload any form of study material—textbooks, lecture slides, or videos—to give the AI context. And for those tough academic standards, Mindgrasp provides scholarly insights, turning your paper into a well-researched masterpiece .    

Professionals, you’re not left out either. Mindgrasp adapts its features to meet industry standards, helping you create reports, articles, or proposals that stand out. The tool understands the nuances of professional writing and delivers results that resonate with your target audience.

No more agonizing over how to make your essay coherent and scholarly. Mindgrasp takes the guesswork out of the process, making writing less stressful and more enjoyable. It’s the AI essay expander that combines technology and expertise to elevate your writing to the next level. So why settle for less when you can aim for the best? With Mindgrasp, excellence is just a click away.

Conclusion: Unleash the Power of Mindgrasp, Your All-in-One Essay Expander AI and Expanding Essay Tool

In summary, Mindgrasp isn’t just another essay expander tool—it’s a game-changer for both students and professionals. Designed to expand essays into coherent and scholarly masterpieces, it’s the ultimate AI essay expander. Whether you’re starting with a rough draft or a list of bullet points, Mindgrasp takes your content and elevates it, providing you with detailed notes, summaries, and even flashcards for students.

Stuck on a tricky question? Mindgrasp’s unique question-answer feature dives into your uploaded resources to provide the insights you need. This expand essay generator is not just about making your work longer; it’s about making it better. Students will find it invaluable for academic success, while professionals can harness its features to produce standout reports and proposals.

So, if you’re looking to take your writing to the next level, Mindgrasp is your go-to platform. It combines cutting-edge technology with user-friendly features to make essay writing stress-free and efficient. Why settle for good when you can have great? With Mindgrasp, excellence is truly at your fingertips.

Ready to transform your writing game? Whether you’re a student aiming for top grades or a professional looking to impress, Mindgrasp is the tool for you. With features like essay expansion and in-depth answers to your questions, achieving excellence has never been easier. Sign up for Mindgrasp today and elevate your writing to the next level!

Leave a Reply Cancel reply

Useful Links

• Help Center

Quick Links

• Terms and Conditions
• Privacy Policy

Contact Info

• 6751 Columbia Gateway Dr. STE 300 
Columbia, MD 21046
• [email protected]

© Copyright 2024 Apricot AI LLC . All Rights Reserved

Discover more from mindgrasp ai.

Subscribe now to keep reading and get access to the full archive.

Type your email…

Continue reading

Essay Extender for Students

Have you ever struggled to reach the specific word count while writing an essay? Our online essay extender can help you get the desired word count with just a few simple steps. All you have to do is:

• Copy and paste your essay.
• Choose how many words you need in your paper.
• Click the "Extend" button.

💎 5 Key Advantages of the Essay Extender

🙋 when to use the ai essay extender, 📜 essay extender free examples, 🖇️ essay word extender tips, 🔗 references.

Our essay word extender offers a range of benefits that can enhance your writing experience. Here are some of them:

With its user-friendly interface, our online essay extender can assist you in various ways. Check out these ideas on how you can use the tool.

1. To Increase the Word Count

One of the most common uses of our essay extender is to increase an essay's word count. You add words to the entire text or a specific part, for example, introduction, conclusion, or body paragraphs. This gives you more control over where you want to expand an essay and helps you tailor the extension to the academic requirements .

Our tool adds words without compromising the quality of their writing. Since it uses advanced AI algorithms, it extends the text while maintaining the coherence and flow of the original content.

2. To Add a New Part

AI essay extender can also help you add a new part to your essay. For example, if you have already written the introduction and body paragraphs but are struggling with the conclusion, our tool can generate it.

Similarly, if you need to add a new body paragraph to support your argument , our essay extender can generate a paragraph based on your prompt. This feature is particularly useful when you are short on time and need to complete your essay quickly.

3. To Get New Ideas

Sometimes, you only need a fresh perspective to improve your writing. Our essay extender can generate unique ideas by developing a body paragraph on any topic. This feature is helpful for those who are stuck with their writing and need some inspiration to continue. You can use this generated paragraph as a starting point and further develop it according to your ideas and arguments.

Wanna see how essay extender generator works in practice? Let's try it together. Imagine you're writing an argumentative essay on "Should all internships be paid?" We'll use our tool to add some words to a body paragraph and then develop an effective introduction.

All internships should be paid for the simple fact that interns are providing valuable work and skills to the company. It is unfair to expect young workers, who are often already struggling with student debt, to work for free. Interns are not just shadowing or observing; they actively contribute to the company's operations and success. By not compensating them, companies are perpetuating a cycle of unpaid labor and exploiting the enthusiasm and eagerness of young workers. Furthermore, paying interns shows that their time and contributions are valued, allowing them to gain practical experience without financial strain.

All internships should be paid for the simple fact that interns are providing valuable work and skills to the company. It is unfair to expect young workers, who are often already struggling with student debt, to work for free. Interns are not just shadowing or observing; they actively contribute to the company's operations and success. For example, a student who is completing an unpaid internship at a marketing firm may be responsible for creating social media content, conducting market research, and assisting with client meetings. These tasks require time, effort, and skills, and the intern should be compensated for their contributions. By not compensating them, companies are perpetuating a cycle of unpaid labor and exploiting the enthusiasm and eagerness of young workers. Moreover, unpaid internships often come with hidden costs that can be a significant burden for students. For instance, a student interning in a different city may have to cover transportation, housing, and other expenses on top of working for free. Furthermore, paying interns shows that their time and contributions are valued, allowing them to gain practical experience without financial strain. Companies should recognize the contributions interns bring to their organization and compensate them accordingly for their hard work.

Internships have become a common way for students to gain practical experience and valuable skills in their chosen field. However, the issue of whether these internships should be paid or not has sparked a debate. While some argue that unpaid internships provide valuable learning opportunities, others believe that all internships should be paid to ensure fair treatment of young workers. In this essay, we will explore why all internships should be paid, including the value that interns bring to organizations and the hidden costs of unpaid internships.

Check out these helpful tips to work on your academic writing skills and extend an essay manually.

• Expand your arguments . Instead of simply stating your point, provide more detailed examples to support your ideas.
• Use transitional phrases . Transition phrases such as "in addition," "furthermore," and "moreover" can help you connect your ideas and add more depth to your essay.
• Include relevant statistics and data . Adding statistics and data from reliable sources can boost the credibility of your essay and help you expand your arguments.
• Incorporate quotes . Including quotes from experts or authoritative individuals adds depth and weight to your essay.
• Provide background information . If you feel that certain concepts need more explanation, you can provide background information to help the reader better understand your points.

Remember, when expanding on your arguments, it is essential to do so smartly. This means providing detailed explanations and relevant examples that add length to your essay and strengthen your points.

❓ Essay Extender FAQ

Updated: Apr 12th, 2024

• How to Increase or Decrease Your Paper’s Word Count | Grammarly
• How to Increase Your Essay Word Count - Word Counter Blog
• Transitions - The Writing Center • University of North Carolina at Chapel Hill
• What Are Filler Words? (Examples and Tips To Avoid Them) | Indeed.com
• How to Write an Introduction Paragraph in 3 Steps
• Free Essays
• Writing Tools
• Lit. Guides
• Donate a Paper
• Referencing Guides
• Free Textbooks
• Tongue Twisters
• Job Openings
• Expert Application
• Video Contest
• Writing Scholarship
• Discount Codes
• IvyPanda Shop
• Terms and Conditions
• Privacy Policy
• Cookies Policy
• Copyright Principles
• DMCA Request
• Service Notice

On this page, you can find a free essay extender for students. With the help of this tool, you can increase the word count of any text – paste it into the related field and add the necessary details. The essay extender can add particular paragraphs or double your words in two clicks! Don’t miss the helpful tips and examples of text expansion.

Our approach

• Responsibility
• Infrastructure
• Try Meta AI

RECOMMENDED READS

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

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

Our goals for Llama 3

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

State-of-the-art performance

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

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

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

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

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

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

Model architecture

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

Training data

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

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

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

Scaling up pretraining

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

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

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

Instruction fine-tuning

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

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

Building with Llama 3

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

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

A system-level approach to responsibility

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

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

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

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

Deploying Llama 3 at scale

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

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

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

What’s next for Llama 3?

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

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

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

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

Try Meta Llama 3 today

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

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

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

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

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

Our latest updates delivered to your inbox

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

Join us in the pursuit of what’s possible with AI.

Product experiences

Foundational models

Latest news

Meta © 2024

• SUGGESTED TOPICS
• The Magazine
• Newsletters
• Managing Yourself
• Managing Teams
• Work-life Balance
• The Big Idea
• Data & Visuals
• Reading Lists
• Case Selections
• HBR Learning
• Topic Feeds
• Account Settings
• Email Preferences

6 Common Leadership Styles — and How to Decide Which to Use When

• Rebecca Knight

Being a great leader means recognizing that different circumstances call for different approaches.

Research suggests that the most effective leaders adapt their style to different circumstances — be it a change in setting, a shift in organizational dynamics, or a turn in the business cycle. But what if you feel like you’re not equipped to take on a new and different leadership style — let alone more than one? In this article, the author outlines the six leadership styles Daniel Goleman first introduced in his 2000 HBR article, “Leadership That Gets Results,” and explains when to use each one. The good news is that personality is not destiny. Even if you’re naturally introverted or you tend to be driven by data and analysis rather than emotion, you can still learn how to adapt different leadership styles to organize, motivate, and direct your team.

Much has been written about common leadership styles and how to identify the right style for you, whether it’s transactional or transformational, bureaucratic or laissez-faire. But according to Daniel Goleman, a psychologist best known for his work on emotional intelligence, “Being a great leader means recognizing that different circumstances may call for different approaches.”

• RK Rebecca Knight is a journalist who writes about all things related to the changing nature of careers and the workplace. Her essays and reported stories have been featured in The Boston Globe, Business Insider, The New York Times, BBC, and The Christian Science Monitor. She was shortlisted as a Reuters Institute Fellow at Oxford University in 2023. Earlier in her career, she spent a decade as an editor and reporter at the Financial Times in New York, London, and Boston.

Partner Center