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What is a characteristic of transformer-based language models?
A
Transformer-based language models use convolutional layers to apply filters across an input to capture local patterns through filtered views.
B
Transformer-based language models can process only text data.
C
Transformer-based language models use self-attention mechanisms to capture contextual relationships.
D
Transformer-based language models process data sequences one element at a time in cyclic iterations.