AWS Certified Cloud Practitioner
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In Amazon Bedrock, embeddings are primarily used for what purpose?
Real Exam
Community
RRitesh
A
To store data in a vector database
B
To convert text into numerical representations
C
To compress data for storage
D
To encrypt sensitive information
E
To generate images from text
F
To translate between languages
Explanation:
In Amazon Bedrock, embeddings are primarily used to convert text into numerical representations (vectors). These vector representations capture the semantic meaning and relationships between words and phrases, enabling machine learning models to understand and process natural language more effectively. Embeddings are fundamental for tasks like semantic search, recommendation systems, and similarity analysis, where text needs to be represented in a format that computers can mathematically process and compare.
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