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Results tagged with transformer
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user 104
For questions related to the transformer, which is a deep machine learning model introduced in 2017 in the paper "Attention Is All You Need", used primarily in the field of natural language processing (NLP).
16
votes
3
answers
4k
views
Why are embeddings added, not concatenated?
Let's consider the following example from BERT
I cannot understand why "the input embeddings are the sum of the token embeddings, the segmentation embeddings, and the position embeddings". The thing …
- 361
2
votes
2
answers
2k
views
What if we drop the causal mask in auto-regressive Transformer?
I understand the triangular causal mask in the attention is used to prevent tokens from "looking into the future", but why do we want to prevent that?
Let's suppose we have a model with context length …
- 361