Gltr.Io

A tool to detect automatically generated text using language models

  • Language model analysis tool

  • Detect automatically generated text

  • Visual inspection of language model predictions

Pricing:

🆓 Free

Categories:

#AI Detection

What is Gltr.Io

GLTR is a tool developed by MIT-IBM Watson AI Lab and HarvardNLP to detect automatically generated text. It allows for a forensic analysis of the visual footprint of language models, determining the likelihood of a text being generated by an automatic system. By analyzing the ranking and colors of words in the text, GLTR provides a visual indication of how likely each word was generated by a language model. Despite some limitations, GLTR can serve as a starting point for the development of similar ideas at a larger scale.

Key Features

  • Forensic Analysis: Detects automatically generated text.
  • Language Model Insights: Understands how large models produce text.
  • Visual Indication: Color-codes words based on prediction likelihood.
  • Histograms: Shows word category distributions and prediction entropies.
  • GPT-2 117M Language Model: Access to one of the largest publicly available models.
  • Positional Analysis: Overlay colored masks to indicate word likelihood.
  • Histograms and Statistics: Display word category distribution, prediction probabilities, and entropies.
  • Real vs Generated Text Analysis: Detect artificial text by comparing predictability and uncertainty.

Gltr.Io

A tool to detect automatically generated text using language models

Key Features

🆓 Free

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