MITIGATING BIAS AND FAIRNESS IN TRANSFORMER MODELS

Transformer models have revolutionized natural language processing, achieving state-of-the-art results on a variety of tasks. However, these powerful models are susceptible to inheriting and amplifying biases present in the training data. addressing bias and promoting fairness in transformer models is essential to prevent the perpetuation website o