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