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Results tagged with embeddings
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user 79362
For questions about embeddings (not necessarily just word embeddings, for which there is a specific tag) in the context of machine learning.
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How to convert a positionally encoded predicted embedding from a decoder to its matching token?
In most Transformer architectures, positional encodings are added to token embeddings to provide the model with information about the order of the sequence, as the Transformer encoder/decoder block does … Once position encodings are added to token embeddings, they become part of the model's learned representation, which the decoder uses to generate the output. …
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