Vietnamese AI Text Detection Achieves Impressive Accuracy with Hybrid Model

This project showcases a fascinating application of a hybrid architecture for a critical NLP task. The impressive 98.62% accuracy achieved on Vietnamese text detection highlights the potential of combining cutting-edge techniques like PhoBERT, CNN, and BiLSTM. This opens exciting possibilities for AI-driven text analysis in the Vietnamese language.