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Transformer Architecture
hard

Attention:Encoder :: Decoder:?

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Learning Path
Learning Path

Question & Answer
1
Understand Question
2
Review Options
3
Learn Explanation
4
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Choose AnswerChoose the Best Answer

A

Attention

B

Context

C

Output

D

Input

Understanding the Answer

Let's break down why this is correct

The decoder’s main job is to create the next word in the output sequence. Other options are incorrect because The attention part is a tool inside the decoder, not the thing the decoder produces; Context is what the decoder receives from the encoder, not what it creates.

Key Concepts

Transformer Architecture
Attention Mechanism
Sequence Generation
Topic

Transformer Architecture

Difficulty

hard level question

Cognitive Level

understand

Deep Dive: Transformer Architecture

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Definition
Definition

The Transformer is a network architecture based solely on attention mechanisms, eliminating the need for recurrent or convolutional layers. It connects encoder and decoder through attention, enabling parallelization and faster training. The model has shown superior performance in machine translation tasks.

Topic Definition

The Transformer is a network architecture based solely on attention mechanisms, eliminating the need for recurrent or convolutional layers. It connects encoder and decoder through attention, enabling parallelization and faster training. The model has shown superior performance in machine translation tasks.

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