Gltr
GLTR is a tool developed by the MIT-IBM Watson AI lab and HarvardNLP to detect automatically generated text using forensic analysis.
Free
Experiments
No Signup Required
Open Source
Date Added: July 10, 2023
Further Information
The MIT-IBM Watson AI lab and HarvardNLP have collaborated to create GLTR, an innovative tool that utilizes forensic analysis to identify automatically generated text. Specifically designed to analyze the output of OpenAI's GPT-2 117M language model, GLTR offers valuable insights into the probability of a given text being artificially generated.
Key Features
- Utilize forensic text analysis to automatically detect computer-generated text
- Highlight words based on their probability of being generated by a language model
- Analyze histograms to gather evidence of text generation and probability distributions
- Identify fake text, including fake reviews, comments, and news articles
Use Cases
- Detection of fake reviews: GLTR can identify computer-generated text in reviews to ensure authenticity.
- Comment analysis: GLTR can analyze comments to determine if they are likely to be generated by a language model.
- Verification of news articles: GLTR can detect artificially generated news articles to prevent the spread of misinformation.
- Forensic analysis techniques: GLTR empowers users to analyze text and detect computer-generated content using forensic analysis techniques.
- Visual indication and histogram insights: GLTR provides visual indication and histogram insights, making it a valuable tool in identifying fake text generated by large language models.
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