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AI Engineering
Chapter 2.4
Seq2Seq Architecture
The encoder-decoder architecture is conditioned on both the final hidden state of the input and the previously generated token. A visualization of the seq2seq architecture Highlight Ask AI is shown in Figure 2.4.
There are two problems with seq2seq that Vaswani et al. (2017) addresses. First, the vanilla seq2seq decoder generates output tokens using only the final hidden state of the input.
The transformer attention mechanism addresses this by allowing the decoder to attend to all input tokens when generating each output token.
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Linear Algebra for Machine Learning
this in-depth course provides a
comprehensive exploration of all
critical linear algebra concepts
necessary for machine learning you'll
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