The answer
No. Transformer architectures can process representations of images, audio, and other data. The input representation and training objective determine the task they learn.
How have transformers revolutionized the AI industry?
Are transformers only useful for text?
More FAQs in How have transformers revolutionized the AI industry?
No. Attention mechanisms existed before the transformer. The influential contribution was an architecture that relied on attention instead of recurrence for its central sequence-processing design.
No. Standard autoregressive generation chooses each new token using the preceding context. Parallelism during training does not remove that dependency in ordinary generation.
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