Transformers Well Explained: Word Embeddings

This is part of a three-article series that explains transforms. Each article is associated with a hands-on notebook.

The authors of “Attention is All You Need” (The research paper that introduced transformers) stated at the beginning of the paper “Similarly to other sequence transduction models, we use learned embeddings to convert the input tokens and output tokens to vectors of dimension d_model.”

What are word embeddings? Word embeddings are a way to represent textual data in terms of condensed …

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