AWS Certified Cloud Practitioner
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Which Amazon Bedrock model is best suited for generating vector embeddings for search or retrieval tasks?
Real Exam
Community
RRitesh
A
Claude 3 Sonnet
B
Meta Llama 3
C
Amazon Titan Embeddings
D
Stability Diffusion
Explanation:
Amazon Titan Embeddings is specifically designed for generating vector embeddings for search and retrieval tasks. Vector embeddings are numerical representations of text that capture semantic meaning, allowing for similarity searches and retrieval-augmented generation (RAG) applications. While Claude 3 Sonnet and Meta Llama 3 are large language models for text generation, and Stability Diffusion is for image generation, Amazon Titan Embeddings is optimized for creating embeddings that can be used in vector databases for semantic search.
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