"Transformers gave language models an impressive ability to weigh which words mattered to one another, even across long distances."
Vaswani and colleagues introduced an architecture centred on self-attention, enabling information from different positions in a sequence to interact through short computational paths. This provides the technical foundation for the manuscript's description of relationships between words separated by substantial distances.
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