Exam AWS Certified Machine Learning Engineer - Associate MLA-C01 topic 1 question 8 discussion

Exam question from Amazon's AWS Certified Machine Learning Engineer - Associate MLA-C01

Question #: 8
Topic #: 1

[All AWS Certified Machine Learning Engineer - Associate MLA-C01 Questions]

HOTSPOT -
An ML engineer is building a generative AI application on Amazon Bedrock by using large language models (LLMs).
Select the correct generative AI term from the following list for each description. Each term should be selected one time or not at all. (Select three.)
• Embedding
• Retrieval Augmented Generation (RAG)
• Temperature
• Token

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Suggested Answer:

by AzureDP900 at Feb. 18, 2025, 3:37 a.m.

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djeong95

Highly Voted 5 months, 2 weeks ago

Tokens are the smallest units that an LLM processes. Embeddings transform text into high-dimensional vectors capturing semantic meaning. RAG combines generated content with retrieved external information to enrich the output.

upvoted 5 times

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Sid4ops

Most Recent 5 months ago

Token Embedding RAG

upvoted 1 times

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AzureDP900

6 months ago

Token : Represents a unit of text used in processing and generating responses by the model. Temperature : Controls the randomness and creativity of the generated output, allowing for adjustments in the model's response style. Embedding : Converts text into vector representations to capture semantic meaning, enhancing the model's ability to understand and generate coherent content.

upvoted 3 times

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