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Are you tired of trying to figure out if a piece of text was written by a human or an AI system?
Introducing the OpenAI AI Text Classifier, a powerful tool designed to classify human vs machine text.
This innovative classifier is built on a language model that has been fine-tuned using a dataset of human-written and AI-written text on the same topic.
While it excels at analyzing longer texts, it may not be as reliable when it comes to short texts, code, or languages other than English.
It’s important to note that the classifier is not foolproof and can be evaded through editing. Therefore, it should be used alongside other methods to determine the source of a piece of text.
OpenAI is actively engaging with educators, journalists, and other communities to better understand the limitations and impacts of using the AI Text Classifier.
Discover a new level of text analysis with the AI Text Classifier from OpenAI.
The OpenAI AI Text Classifier is a tool specifically developed to differentiate between text authored by humans and text generated by AI systems. It operates by utilizing a language model that has been fine-tuned using a dataset consisting of pairs of human-written and AI-written text on the same subject matter.
The classifier demonstrates a relatively high level of accuracy when applied to longer texts, but its reliability diminishes when dealing with shorter texts, code, or languages other than English. Additionally, the classifier is susceptible to manipulation that can evade its detection capabilities.
It is important to note that the AI Text Classifier is not intended to be the sole decision-making tool and should be used in conjunction with other methods to determine the origin of a given piece of text.
OpenAI is actively collaborating with educators, journalists, and other affected communities to gain a deeper understanding of the limitations and implications associated with employing the AI Text Classifier.
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