Attention Is All You Need
scientific article published in June 2017
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Original Transformer paper referenced to explain positional encodings and encoder/decoder distinctions.

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The paper that introduced the Transformer architecture, which was used by GPT.
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Mentioned as the source of positional embeddings comparable to the Fourier embeddings used in consistency models.
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A seminal paper in machine learning that introduced the Transformer architecture, which is the basis for Whisper's encoder-decoder model.

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The paper that introduced the Transformer architecture, a key innovation in AI.

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The research paper that first introduced the Transformer architecture, highlighting the importance of the attention mechanism.