1.What is the purpose of the decoder in an encoder-decoder architecture?
To convert the input sequence into a vector representation
To predict the next word in the output sequence
To generate the output sequence from the vector representation 정답
To learn the relationship between the input and output sequences
2.What are two ways to generate text from a trained encoder-decoder model at serving time?
Teacher forcing and beam search
Greedy search and beam search 정답
Teacher forcing and attention
Greedy search and attention
3.What is the purpose of the encoder in an encoder-decoder architecture?
To learn the relationship between the input and output sequences
To generate the output sequence from the vector representation
To predict the next word in the output sequence 정답
To convert the input sequence into a vector representation
4.What is the name of the machine learning architecture that takes a sequence of words as input and outputs a sequence of words?
Large stream text manipulation
Regressive neural networking
Collaborative natural network
5.What is the difference between greedy search and beam search?
Greedy search always selects the word with the highest probability, whereas beam search considers multiple possible words and selects the one with the highest combined probability. 정답
Greedy search considers multiple possible words and selects the one with the highest combined probability, whereas beam search always selects the word with the highest probability.
Greedy search always selects the word with the lowest probability, whereas beam search considers multiple possible words and selects the one with the lowest combined probability.
Greedy search considers multiple possible words and selects the one with the lowest combined probability, whereas beam search always selects the word with the lowest probability.