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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..
Classifies human vs machine text.
Analyzing sentences for written integrity verification.
Checked content's originality & plagiarism.
Enhanced content creation and analysis for publishers.
Detects ChatGPT- generated content plagiarism.
Detecting plagiarism and verifying content.
Analyzes doctored media.
Text plagiarism & source detect.
Plagiarism detection for educational institutions.
Detect plagiarism in teachers' essays for originality.
Detecting copied or generated content.
Evaluate & monitor generative models
Differentiates human vs. synthetic text.
Detecting misinformation and deepfakes.
Badge indicating human-generated content.
Authenticate and detect plagiarism in content.
Detect AI generated text in a click
Enhancing content authenticity via rewriting.
Forensically detects auto-generated text.
Reliable reviews by validated text.
Innovative, fast and easy-to-use plagiarism checker.
Discover WriteHuman's AI Detector: distinguishing between AI-generated and human-written text.
Undetect humanizes & rewrites content.
Detect machine vs human text for content management.
Verification of content authenticity.
Content proofing.
Authenticity detection for human & machine text.
Simplifying the detection of AI-generated text.
Write with confidence and bypass AI detection with BypassDetection.
Discover the power of AI detection on Twitter.
Detects generated text across domains.
Content verification and plagiarism detection solution.
Improving writing and ensuring academic integrity.
Identify and flag text for content verification.
Recognizes synthetic text.
Text sorts human and machine content.
Validated text content generation.
Differentiating human from generated text.
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