GPT-2 Output Detector

Authenticity detection for text inputs.

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GPT-2 Output Detector is an online tool that utilizes machine learning to assess the legitimacy of text inputs. Built upon the RoBERTa model by HuggingFace and OpenAI and leveraging the 🤗/Transformers library, this platform provides a demo where users can input text and receive a prediction of its authenticity. The probabilities of the output are displayed below the text box.
The model's reliability increases after a minimum of 50 tokens have been entered, enabling users to make quick and accurate identifications of potential fake or fraudulent text. This feature is useful for a variety of applications, such as detecting the authenticity of news articles or filtering out spam.
With its machine learning capabilities and user-friendly interface, GPT-2 Output Detector is an efficient and reliable tool for assessing the authenticity of text inputs.
Use Case
AI content detection