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Results tagged with transformer
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user 36821
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).
2
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How does a transformer leverage the GPU to be trained faster than RNNs?
In contrast to this, a transformer is able to fully parallelise the processing of the sequence because it does not have this recursive relationship, i.e. a transformer is not a recursive function -- the … Now that we have the necessary background for an attention mechanism, we can look at self attention which is the backbone of Transformer. …
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24
votes
Accepted
What exactly are the "parameters" in GPT-3's 175 billion parameters and how are they chosen/...
Parameters is a synonym for weights, which is the term most people use for a neural networks parameters (and indeed in my experience it is a term that machine learners will use in general whereas para …
- 5,030