AWS Certified AI Practitioner

Explanation

Correct Answer: B (Negative prompting and content filtering)

Why this is correct:

1. Negative prompting is a technique where you explicitly tell the AI model what NOT to include in the generated content. This is particularly useful for avoiding specific terms like competitor brand names.

2. Content filtering involves implementing filters or guardrails to detect and block offensive language, inappropriate content, or specific prohibited terms from appearing in the AI-generated output.

3. Bedrock's capabilities: AWS Bedrock provides built-in content filtering and safety features that can be configured to block specific types of content, including offensive language and competitor mentions.

Why other options are incorrect:

• A) Zero-shot prompting: This refers to providing a prompt without any examples, but it doesn't specifically address content filtering or preventing certain outputs.
• C) Reinforcement learning: This is a training methodology where models learn through rewards/penalties, not a content filtering strategy for production use.
• D) Hyperparameter tuning: This involves adjusting model training parameters to improve performance, not controlling specific content outputs.

Best practice approach: The marketing agency should implement a combination of:

• Negative prompting in their requests (e.g., "Do not mention [competitor brand names]")
• Bedrock's built-in content filtering settings
• Additional post-generation validation checks
• Custom guardrails for brand-specific compliance