Evaluating the Efficacy of Hybrid Deep Learning Models in Distinguishing AI-Generated Text

My research investigates the use of cutting-edge hybrid In the era of information technology, the distinction between deep learning models to accurately di erentiate between text generated by arti cial intelligence (AI) and that authored AI-generated text and human writing. I applied a robust by humans has become increasingly blurred. This convergence methodology, utilising a carefully selected dataset comprising has profound implications, not only for the eld of AI and human texts from various sources, each tagged natural language processing (NLP) but also for broader societal with instructions.