GLTR
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About
GLTR (Giant Language Model Test Room) is a collaborative tool by MIT-IBM Watson AI lab and HarvardNLP, designed to detect text generated by large language models like GPT-2. It operates by analyzing the likelihood of each word in a given text based on the language model's predictions. The tool visually highlights words with a colored mask: green for top 10 most likely words, yellow for top 100, red for top 1,000, and purple for less likely words. This visual footprint helps users discern patterns indicative of machine generation, where texts often stick to highly probable words. GLTR also provides histograms summarizing word categories, probability ratios, and prediction entropies for a comprehensive forensic analysis. It allows users to paste any text or use provided examples to investigate whether it looks "too likely" to be human-written, offering insights into the textual characteristics of both human and AI-generated content.
Platform
Features
• displays top 5 predicted words and probabilities on hover
• detects artificial text from various generation systems
• offers histograms for prediction entropy
• shows histograms for probability ratio of predicted vs. actual words
• provides histograms for word category distribution
• overlays colored mask on text based on word ranking
• analyzes text using language models like gpt-2
• inspects visual footprint of automatically generated text
Pricing Plans
Free
Free Plan• Detect automatically generated text
• Visual forensic analysis
• Access to GPT-2 117M model analysis
• Open-source code
• Live demo access
Job Opportunities
There are currently no job postings for this AI tool.
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