Why does a transformer need position information?
Token order changes meaning. Position information helps the model distinguish sequences that contain similar tokens in different arrangements and use their relationships appropriately.
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More FAQs in How do neural networks and transformers work?
No. A transformer is one type of neural network. Its architecture uses attention and other learned transformations to process relationships among representations.
Attention is the name of a mathematical operation that weights and combines information. The name alone does not establish human-like understanding or awareness.
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