Lizhecheng02/Kaggle-LLM-Detect_AI_Generated_Text

Detect whether the text is AI-generated by training a new tokenizer and combining it with tree classification models or by training language models on a large dataset of human & AI-generated texts.

12
/ 100
Experimental

This project helps anyone who needs to verify if a piece of text was written by a human or generated by an AI. You input a body of text, and the system processes it to determine its origin. This is useful for educators, content creators, journalists, or anyone evaluating the authenticity of written material.

No commits in the last 6 months.

Use this if you need a way to reliably detect AI-generated text using a system trained on diverse datasets of both human and machine-produced content.

Not ideal if you're looking for a simple, out-of-the-box tool without needing to set up data downloads and run scripts, as this project requires some technical setup.

AI-content-detection plagiarism-detection content-authenticity academic-integrity text-analysis
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 0 / 25

How are scores calculated?

Stars

5

Forks

Language

Jupyter Notebook

License

Last pushed

Jan 26, 2024

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/Lizhecheng02/Kaggle-LLM-Detect_AI_Generated_Text"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.