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Oracle Exam 1Z0-1127-24 Topic 2 Question 7 Discussion

Actual exam question for Oracle's 1Z0-1127-24 exam
Question #: 7
Topic #: 2
[All 1Z0-1127-24 Questions]

Which statement best describes the role of encoder and decoder models in natural language processing?

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Suggested Answer: D

by Soledad at Jun 24, 2024, 07:02 AM

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Lashawn
9 months ago
Wait, aren't encoder and decoder models used in things like machine translation? I think option D makes the most sense in that context. Gotta love the NLP jargon, though!
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Sabina
9 months ago
Haha, this question is giving me flashbacks to my machine learning class. All these encoder-decoder models start to blend together after a while. I'm just going to go with D and hope for the best.
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Martina
9 months ago
Hmm, I was thinking option C was the right answer. Isn't that how most language models work, where the encoder predicts the next word and the decoder translates it back to text? But I could be wrong.
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Cathrine
8 months ago
I agree with option D. The encoder creates vector representations of words, and the decoder uses these vectors to generate a sequence of words.
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Linn
8 months ago
I see your point, but I believe option A is more accurate. Both encoder and decoder models convert words into vector representations without generating new text.
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Noelia
9 months ago
I think option D is the correct answer. The encoder converts words into vectors and the decoder turns those vectors back into words.
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Deja
9 months ago
I agree with you, option D seems to make more sense. The encoder creates a vector representation, and the decoder uses it to generate a sequence of words.
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Ngoc
9 months ago
I see your point, but I still believe option C is more accurate. The encoder predicts the next word, while the decoder converts the sequence into a numerical representation.
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Dwight
9 months ago
That makes sense. So the encoder and decoder work together to process and generate text.
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Candra
9 months ago
I think option D is the correct answer. The encoder converts words into vectors, and the decoder turns those vectors back into words.
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Joesph
9 months ago
I think option D is the correct answer. The encoder converts words into vectors and the decoder turns those vectors back into words.
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Leatha
10 months ago
I agree with Joni, D makes more sense.
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Lucina
10 months ago
Okay, I think option D is the correct answer. The encoder model converts the sequence of words into a vector representation, and the decoder model then takes this vector representation and generates the sequence of words.
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Quentin
9 months ago
Yes, that's correct. The encoder model creates a vector representation of the input text, and the decoder model generates the output text based on that representation.
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Hubert
9 months ago
I agree, option D makes sense. The encoder and decoder models work together in natural language processing.
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Joni
10 months ago
But encoder models convert words into vectors, not predict the next word.
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Mozelle
10 months ago
I disagree, I believe it's C.
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Joni
10 months ago
I think the answer is D.
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