GPT-2 Output Detector

Detects fake text with high accuracy.

GPT-2 Output Detector is an online demo of a machine learning model designed to detect the authenticity of text inputs. It is based on the RoBERTa model developed by HuggingFace and OpenAI and is implemented using the /Transformers library. The demo allows users to enter text into a text box and receive a prediction of the text’s authenticity, with probabilities displayed below. The model is most reliable after a minimum of 50 tokens have been entered. GPT-2 Output Detector enables users to quickly and accurately identify potential fake or fraudulent text inputs, and can be used for a variety of applications, such as detecting the authenticity of news articles or filtering out spam.

Ai Promptly
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Featured on December 29, 2022

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