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A company wants to automatically summarize long legal documents using Amazon Bedrock without designing its own summarization model. Which feature supports this requirement?
A
Bedrock Embeddings API
B
Built-in model capabilities such as summarization
Explanation:
Correct Answer: B - Built-in model capabilities such as summarization
Amazon Bedrock is a fully managed service that offers access to foundation models (FMs) from leading AI companies through a single API. The key advantage of Bedrock is that it provides pre-built capabilities like summarization, classification, question answering, and more, without requiring customers to design or train their own models from scratch.
Why Option B is correct:
Built-in capabilities: Amazon Bedrock foundation models come with inherent capabilities for common tasks like summarization, translation, content generation, etc.
No custom model design needed: The company can simply use the summarization capability of available foundation models without building their own model.
Legal document summarization: Foundation models in Bedrock can be prompted to summarize legal documents effectively.
Why Option A is incorrect:
Bedrock Embeddings API: This is used for creating vector embeddings (numerical representations) of text for semantic search and retrieval, not for summarization tasks.
Different purpose: Embeddings are primarily used for similarity search, clustering, and recommendation systems, not for generating summarized content.
Key AWS Bedrock Concepts:
Foundation Models: Pre-trained large language models that can perform various tasks
Built-in capabilities: Ready-to-use functionalities like summarization, classification, etc.
Prompt engineering: The company would need to provide appropriate prompts to get the desired summarization output
Managed service: No infrastructure management required - Bedrock handles scaling, availability, and maintenance
Use Case Fit:
For summarizing legal documents, the company would:
Choose an appropriate foundation model in Bedrock
Use the model's built-in summarization capability
Provide the legal document text as input with appropriate prompts
Receive the summarized output without any model training or custom development