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GPT-2 Output Detector

The GPT-2 Output Detector identifies real versus fake text with RoBERTa, showing probabilities after 50 tokens.
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GPT-2 Output Detector

What is GPT-2 Output Detector?

The GPT-2 Output Detector is an online demo of a model designed for detecting real and fake text outputs based on the /Transformers implementation of RoBERTa. Users can input text into a textbox, and the model will display predicted probabilities below, with reliable results typically achieved after around 50 tokens. The tool aims to distinguish between genuine and generated text. For further details, visit the provided GitHub link for the GPT-2 output detector .

Who created GPT-2 Output Detector?

The GPT-2 Output Detector was created based on the /Transformers implementation of RoBERTa. The details regarding the founder and company behind this project are not explicitly mentioned in the provided file. For further information on the GPT-2 output detector and related projects, you can explore the following sources:

  1. Detailed information about the GPT-2 output detector: gpt-2-output-detector.pdf

Unfortunately, the specific details about the founder and company behind the GPT-2 Output Detector are not included in the document provided. If you require more information on this topic, additional sources or research may be necessary.

How to use GPT-2 Output Detector?

To use the GPT-2 Output Detector, follow these steps:

  1. Access the online demo of the GPT-2 output detector model, based on the Transformers implementation of RoBERTa.
  2. Enter text into the provided text box for analysis; the predicted probabilities will be displayed below.
  3. It is recommended to input around 50 tokens for more reliable results.
  4. The tool will classify the input text as either real or fake based on the analysis performed.
  5. Use the shortcut keys for quick navigation and functionality such as Ctrl + D to bookmark the site, Ctrl + ↑/↓ to go to top/bottom, and more.
  6. To further explore the tool and its workings, refer to the provided GitHub links for detailed information.
  7. For an in-depth understanding of the model, refer to the associated academic paper available at the provided arXiv link.

By following these steps, you can effectively use the GPT-2 Output Detector tool to analyze and classify text inputs as real or fake.

GPT-2 Output Detector FAQs

What is the GPT-2 output detector?
The GPT-2 output detector is an online model based on the /Transformers implementation of RoBERTa that predicts the probabilities of text being real or fake.
How reliable are the results of the GPT-2 output detector?
The results of the GPT-2 output detector start to get reliable after around 50 tokens.

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