Answer: Negative prompting and content filtering

## 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.

Author: Ritesh Yadav