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, more info these powerful models are susceptible to inheriting and amplifying biases present in the training data. reducing bias and ensuring fairness in transformer models is essential to prevent the perpetuation of