Detection of AI Generated Text with Bert Model

C Revathi
Assistant Professor,
Dept of AIDS, Annamacharya Institute of Technology and Sciences, Tirupati-517501, India. revathiaits@gmail.com
Shaik Mohammad Kaif
UG Student, Dept. Of Artificial Intelligence and Data science, Annamacharya Institute of Technology and Sciences,
Tirupati, India. skmohammadkaif15@gmail.com
Shaik Faiza
UG Student, Dept. Of Artificial Intelligence and Data science, Annamacharya Institute of Technology and Sciences,
Tirupati, India.
Faizashaik780@gmail.com
Akash Reddy O
UG Student, Dept. Of Artificial Intelligence and Data science, Annamacharya Institute of Technology and Sciences,
Tirupati, India.
Akashreddy4002@gmail.com
Archana A
UG Student, Dept. Of Artificial Intelligence and Data science, Annamacharya Institute of Technology and Sciences,
Tirupati, India. adalamarchana@gmail.com

Abstract— One aim drives this work: spotting computer made writing among thousands of essays, most penned by people. It is built on smart algorithms and is able to learn the small differences that distinguish real student writings from those that are a result of big language systems. They are divided into zero and one, a clear path for distinguishing one kind of text from another. Truth in writings is important, and tools such as this one help preserve it by being able to detect slight changes in the formation of thoughts on a screen. If a tool such as this one is successful, it is possible that its use is felt in areas where truth is important, such as in classrooms and online. If researchers are able to use the full depth of the data provided, it is possible that advancements are made in the area of determining what kind of text is real. If tools fordetermining the truth in writings are strong, it is possible that they are developed in response to real-world examples. Keywords: Machine learning, Artificial Intelligence, Authenticity, Accuracy, Augmented LLM