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After starting Discussion GPTPandora’s box opened. We are now witnessing technological change in the way we work. People are writing websites, apps, and even novels using ChatGPT.
With the encouragement and introduction of AI generating tools, we have seen a rise in bad actors. If you’ve been following the latest news, you must have heard that ChatGPT passed the Wharton MBA exam. From Medical to Law Degree, there is a comprehensive list of exams passed by ChatGPT – List: Here are the tests ChatGPT has passed so far..
In addition to exams, students are using it to submit assignments, writers are providing creative content, and researchers are producing high-quality papers just by typing suggestions.
To prevent the misuse of generative content, I am introducing you to 5 free AI content detection tools. You can use them to check the validity of the content and improve your SEO ranking.
GPTZero It was designed by Edward Tian, a senior at Princeton, to detect text generated by ChatGPT. The inventor saw that the technology was being used by students to cheat on assignments, so he came up with a defense.
Image from GPTZero
Web based application is very simple. You can post your text or upload pdf, docx and txt files. With a single click on the “Get Result” button, you can get summary, average confusion and burstiness scores. It also highlights text that can be written by AI.
Image from GPTZero
Note: If it’s completely AI-written content, you won’t see highlighted text.
You can also try Simple display of the application.
Open AI GPT2 output detection It is developed by OpenAI and developed by HuggingFace so that users can freely verify the authenticity of the content. Can detect text generated by ChatGPT, GPT3 and GPT2. The application is using GPT-2 result detection Based on the model Transformers.
Image from OpenAI GPT2 score finder
Copy and paste the text to check the authenticity of the content and it will automatically show you the Real/Fake percentage.
I’ve been using it for a few days now, and I think it’s pretty accurate at getting all kinds of AI text generation.
Hello – SimpleAI ChatGPT Detector ChatGPT has three versions for identifying text generated.
- QA versionIt requires both questions and answers to verify that it was generated by ChatGPT. On the back end, it is using a PLM-based classifier.
- Sinlge-text versionLong text is required to find text generated by ChatGPT using PLM-based classifiers.
- Language versionDetects ChatGPT based on language properties.
Image from Hello-SimpleAI
It is the most accurate version of the language in my opinion. You need to submit the text and click on the prediction button to see the result. The application displays results from two different models GLTR and PPL. You can read more about it at chatgpt-comparison-detection project.
Content Balance AI Content Checker It’s a tool I use frequently for quality assessment. It’s fast, easy and accurate. The AI content recognition allows users to receive Human content Register by posting the article.
Image from Contactscale
Note: Try posting a small piece of text (150-200 words) to get accurate results.
Writers AI content search Similar to Contactscale. “Human-generated content” requires the URL or text of the page to calculate a score. It is fast and accurate.
Image from Authors AI Content Finder
Note: You have a limit of 1500 characters, so try pasting a small piece of text to create the effect.
With the rise of AI generating tools, we have seen the rise of AI search tools. At this stage, they are not correct in testing code snippets and mixed text (Human +AI), but in the future you will see more companies using testing tools to increase quality and improve productivity.
In this post, we’ve learned about the 5 best tools for AI-generated content. These tools are fast, reliable and easy. You just have to post the text to receive the result.
If you are interested in learning more about AI, machine learning, MLOps and data science, follow my social media. Thank you.
Abid Ali Awan (@1abidaliawan) is a certified data scientist who loves building machine learning models. He currently focuses on content creation and writing technical blogs on machine learning and data science technologies. Abid holds a Master’s Degree in Technology Management and a Bachelor’s Degree in Telecommunication Engineering. His vision is to build an AI product using a graph neural network for students struggling with mental illness.
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