Learning Path
Question & Answer1
Understand Question2
Review Options3
Learn Explanation4
Explore TopicChoose the Best Answer
A
By enabling real-time language translation with higher accuracy
B
By reducing the need for large datasets in training
C
By simplifying algorithms for basic text classification tasks
D
By making it easier to interpret neural network decisions
Understanding the Answer
Let's break down why this is correct
Answer
The attention mechanism lets a model look at every part of a sentence at the same time, so it can figure out which words are most important for understanding meaning. This means the model can capture long‑range relationships without having to read words one after another, which was a slow process in older models. Because attention can be applied to any pair of words, the Transformer can be trained on huge amounts of text quickly, making it useful for tasks like translating speech or summarizing news. For example, when translating “I went to the store,” the model can instantly focus on “store” and “went” to decide that the action happened at a location, even if the sentence is very long. As a result, many communication tools—from chatbots to real‑time translation—now work faster and more accurately than before.
Detailed Explanation
Attention lets the model see all words at once and decide which ones matter most. Other options are incorrect because People think attention cuts training data; Attention doesn’t simplify tasks; it adds a layer of calculations that help with sequences.
Key Concepts
Attention mechanism
Machine learning applications
Impact on communication
Topic
Contributors to Transformer Model
Difficulty
hard level question
Cognitive Level
understand
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