Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Here is a web demonstration of the GPT-2 output detection model, which utilizes the RoBERTa implementation from 🤗/Transformers. Simply input your text into the provided box, and the predicted probabilities will appear underneath. It's important to note that the results become more dependable once the input reaches approximately 50 tokens. As you experiment with different inputs, you can gauge the model's performance and reliability over various text lengths.
Description
Pangram is a highly accurate AI content detection and transparency platform built to restore trust in written content. It identifies AI-generated and AI-assisted writing from popular models including ChatGPT, Claude, Gemini, and LLaMA variants. The platform delivers reliable results with industry-leading accuracy while maintaining an extremely low false positive rate. Users receive an overall AI likelihood score along with section-by-section analysis for deeper insight into authorship patterns. Pangram also detects which specific AI model was used, helping clarify content origins. Its AI plagiarism checker scans billions of webpages, books, and articles to flag duplicated or unoriginal content. Built-in integrations allow educators and organizations to check text directly within existing workflows. Pangram’s detection system is resistant to humanizer tools designed to mask AI writing. The platform is supported by transparent, published research from experienced AI researchers. Flexible plans make it accessible for individuals, institutions, and enterprises alike.
API Access
Has API
API Access
Has API
Integrations
ChatGPT
Canvas
Claude
GPT-3
GPT-4
Gemini
Google Chrome
Google Classroom
Grok
Meta AI
Integrations
ChatGPT
Canvas
Claude
GPT-3
GPT-4
Gemini
Google Chrome
Google Classroom
Grok
Meta AI
Pricing Details
Free
Free Trial
Free Version
Pricing Details
$20/month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Hugging Face
Founded
2016
Country
United States
Website
huggingface.co
Vendor Details
Company Name
Pangram Labs
Country
United States
Website
www.pangram.com