"GPU computing helped make transformer models practical, contributing to the technological foundations of modern AI systems."
The original Transformer paper introduces an attention-based architecture designed for efficient parallel training and reports training a machine-translation model on eight GPUs. It demonstrates how algorithmic innovation and accelerated computing combined in a major step toward contemporary language-model architectures.
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