The Transformer architecture uses an attention mechanism that allows the model to weigh the importance of different words.
The model is "pre-trained" on a massive amount of text data from the internet. During pre-training, the model learns to predict the next word in a sentence.
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The model is "pre-trained" on a massive amount of text data from the internet. During pre-training, the model learns to predict the next word in a sentence.
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The model is "pre-trained" on a massive amount of text data from the internet. During pre-training, the model learns to predict the next word in a sentence.
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The Transformer architecture uses an attention mechanism that allows the model to weigh the importance of different words.
The Transformer architecture uses an attention mechanism that allows the model to weigh the importance of different words.