GPT-2 Output Detector is an online demo that utilizes a machine learning model based on the RoBERTa model developed by HuggingFace and OpenAI. This model is implemented using the 🤗/Transformers library. The purpose of the demo is to detect the authenticity of text inputs.
Users can input text into a text box provided by the demo, and the model will generate a prediction of the text's authenticity. The prediction is accompanied by probabilities that indicate the confidence level of the model's prediction. It is important to note that the model's reliability increases as more tokens (words or characters) are entered, with a minimum threshold of 50 tokens recommended for more reliable predictions.
The GPT-2 Output Detector serves as a valuable tool for quickly and accurately identifying potential fake or fraudulent text inputs. It can be applied in various contexts, such as detecting the authenticity of news articles or filtering out spam messages.
TLDR: AI for Detects fake text with high accuracy. Copy and paste these prompts into GPT- Output Detector.