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The Transformer is the neural-network architecture behind modern large language models.
The Transformer is a deep-learning architecture introduced in 2017. Its key innovation, the attention mechanism, lets the model weigh the importance of each word relative to the others.
This ability to capture long-range dependencies in a text made LLMs such as GPT or Claude possible.
The Transformer is today the foundation of almost all state-of-the-art language models.
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