Exam AWS Certified AI Practitioner AIF-C01 topic 1 question 163 discussion

Exam question from Amazon's AWS Certified AI Practitioner AIF-C01

Question #: 163
Topic #: 1

[All AWS Certified AI Practitioner AIF-C01 Questions]

Which option is a characteristic of transformer-based language models?

A. Transformer-based language models use convolutional layers to apply filters across an input to capture local patterns through filtered views.
B. Transformer-based language models can process only text data.
C. Transformer-based language models use self-attention mechanisms to capture contextual relationships.
D. Transformer-based language models process data sequences one element at a time in cyclic iterations.

Show Suggested Answer

Suggested Answer: C 🗳️

by Rcosmos at June 6, 2025, 1:23 p.m.

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026dda3

1 week, 6 days ago

Selected Answer: C

C. Transformer-based language models use self-attention mechanisms to capture contextual relationships. Explanation:Self-attention: This is a key feature of transformers that allows them to weigh the importance of different words in an input sequence and determine their influence on the output, regardless of their position. This ability is crucial for understanding context and relationships within language.

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Rcosmos

1 week, 6 days ago

Selected Answer: C

A principal inovação dos modelos transformers é o uso do mecanismo de autoatenção (self-attention). Isso permite que o modelo: Considere o contexto completo de uma sequência de entrada (por exemplo, uma frase inteira), atribuindo pesos diferentes a cada palavra, dependendo de sua relevância.Capturar relacionamentos entre palavras distantes no texto, o que é crucial para o entendimento da linguagem natural.

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