Python
AI-Generated vs. Human Text: Introducing a New Dataset for Benchmarking and Analysis
Aim: The aim of this project is to enhance the ability to distinguish between AI-generated and human-authored text by utilizing a fine-tuned BERT classifier. This approach emphasizes contextual understanding and deep language representation to outperform traditional machine learning systems in identifying AI-generated content.
BERT-Residual Quantum Language Model Inspired by ODE Multi-Step Method
