Check your understanding of this module before moving on.
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Checkpoint quiz 3 questions
A quick check on this module's key ideas before you move on
Question 01
What is the basic structure of an encoder-decoder (sequence-to-sequence) model?
A is correct. The encoder reads the entire input sequence and summarizes it into a context representation. The decoder then generates the output sequence step by step, conditioned on that context, which is what allows input and output lengths to differ, e.g. in translation.
Question 02
What problem does a fixed-length context vector create for long input sequences in a basic encoder-decoder model?
A is correct. Squeezing an arbitrarily long sequence into one fixed-size vector inevitably discards detail as the sequence grows longer, which is precisely the limitation that motivated the development of attention mechanisms.
Question 03
In what kind of task is a sequence-to-sequence architecture most directly applicable?
A is correct. Seq2seq models were designed exactly for tasks like translation, summarization, or speech-to-text, where both input and output are sequences, often of different and variable lengths.