A. In BERT (Bidirectional Encoder Representations from Transformers), a Transformer refers to the core architecture used for pre-training and fine-tuning the language model. BERT employs a multi-layer bidirectional Transformer encoder, which utilizes self-attention mechanisms to capture bidirectional contextual information from input text, enabling the model to generate high-quality representations for downstream NLP tasks.