LLM vs Human Text Detector
Analyzes text to discern if it's LLM or human-written.
The LLM vs Human Text Detector tool, developed by Salvatore Zagaria, can analyze text to discern whether it is generated by models like GPT or written by humans. It provides valuable insights into distinguishing between AI-generated content and human-created material, aiding users in evaluating the authenticity of the text they encounter online or in various documents. Understanding the differences between LLM and human-written text is crucial in today's digital age to ensure content quality and authenticity.
How to use
To utilize the LLM vs Human Text Detector tool effectively, follow these steps:
- Open the tool either in a Python environment or through a web browser.
- Input the text you want to analyze for LLM characteristics.
- Select the option to evaluate if the text is generated by a language model or human-written.
- Review the analysis results to determine the origin of the text.
Features
- Detects if text is generated by a language model or written by a human.
- Analyzes text for patterns indicative of AI-generated content.
- Provides insights into the authenticity and quality of textual content.
Updates
2024/01/10
Language
English (English)
Welcome message
Hi! I can help you analyze texts to see if they're LLM or human-written. What do you have for me?
Prompt starters
- Is this text written by a human or a bot?
- Evaluate this text for LLM characteristics.
- Can you tell if a human wrote this?
- Analyze this passage for LLM patterns.
Tools
- python
- browser
Tags
public
reportable