The electric grid depends on a complex network of transformers to ensure efficient supply distribution. Within this network, power transformers and distribution transformers play distinct roles. Power transformers are engineered for high-voltage applications, typically operating at voltages above te

The realm of electrical power distribution relies heavily on transformers, devices that efficiently alter voltage levels for various applications. Within this domain, two primary types stand out: distribution transformers, each playing a crucial role in the intricate network. , On the other hand are

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. reducing bias and ensuring fairness in transformer models is