
Ultimate access to all questions.
Deep dive into the quiz with AI chat providers.
We prepare a focused prompt with your quiz and certificate details so each AI can offer a more tailored, in-depth explanation.
A marketing agency using Bedrock wants to ensure that AI-generated campaign content does not include competitor brand names or offensive language. Which strategy should the team use?
A
Zero-shot prompting
B
Negative prompting and content filtering
C
Reinforcement learning
D
Hyperparameter tuning
Explanation:
Negative prompting and content filtering is the correct strategy because:
Negative prompting allows the model to explicitly avoid generating specific content (like competitor brand names)
Content filtering can be applied to detect and block offensive language or unwanted brand mentions
This approach directly addresses the requirement to exclude specific content types
Why other options are incorrect:
A) Zero-shot prompting: This refers to providing examples without training, but doesn't specifically address content exclusion
C) Reinforcement learning: This is a training methodology, not a content filtering strategy
D) Hyperparameter tuning: This optimizes model performance but doesn't directly control content generation
Amazon Bedrock provides built-in content filtering capabilities and supports negative prompting techniques to help ensure generated content meets safety and compliance requirements.