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    3 papers in the starter collection

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    Language models2017

    Attention Is All You Need

    The architecture that changed how we build language models. A closer look at attention, parallelism, and what makes a Transformer work.

    Vaswani et al.
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    Language models2018

    BERT: Pre-training of Deep Bidirectional Transformers

    Learning representations from both directions of a sentence, then adapting them to language understanding tasks.

    Devlin et al.
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    Language models2020

    Language Models are Few-Shot Learners

    An exploration of what a large language model can learn from a handful of examples in its context.

    Brown et al.

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