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A healthcare company is using Amazon Bedrock to build a patient support chatbot. They need to ensure the chatbot avoids generating harmful, biased, or non-compliant responses. Which Bedrock feature should they use?
A
Knowledge Bases for Amazon Bedrock
B
Guardrails for Amazon Bedrock
C
Continued pretraining
D
Prompt chaining
Explanation:
Guardrails for Amazon Bedrock is the correct answer because:
Purpose: Guardrails for Amazon Bedrock is specifically designed to implement safeguards that help prevent harmful, biased, or inappropriate content generation
Healthcare Compliance: For healthcare applications dealing with patient data, this feature helps ensure compliance with regulations like HIPAA by filtering out potentially harmful or non-compliant responses
Content Filtering: It can detect and filter content across multiple categories including hate speech, insults, sexual content, and violence
Customization: Allows organizations to define custom denied topics and content filters tailored to their specific compliance requirements
Why other options are incorrect:
A) Knowledge Bases: This is for retrieving and using external knowledge sources, not for content safety
C) Continued pretraining: This refers to model training techniques, not safety controls
D) Prompt chaining: This is a technique for structuring complex prompts, not for content filtering
For healthcare applications, Guardrails for Amazon Bedrock provides the necessary safety controls to ensure the chatbot operates within compliance boundaries and avoids generating harmful or biased responses.