As discussed above, in order to train a transformer on a text dataset, you have to turn the text data into a list of token IDs. These IDs are numbers such that each token maps uniquely to a different ...
An embedding is a list of numbers (a vector) that captures the meaning of a piece of text. Texts with similar meaning get vectors that point in similar directions — even when they share no words.
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