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VentureBeat

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A look under the hood of transfomers, the engine driving AI model evolution

  • Transformers have become the dominant architecture for cutting-edge AI products and models.
  • They are ideal for tasks such as language translation, sentence completion, and automatic speech recognition.
  • The attention mechanism in transformers allows for easy parallelization and massive scale when training and performing inference.
  • Multimodal transformer models have the potential to make AI more accessible and diverse in applications.

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