AWS Certified Cloud Practitioner

Explanation

Context enrichment is the correct answer because:

1. Definition: Context enrichment involves adding relevant information or context to prompts to improve the AI model's understanding and generate more accurate responses.

2. Application in this scenario: The developer is including excerpts from the company's policy document directly in the prompts. This provides the AI model with specific, relevant information it needs to answer policy-related questions consistently and accurately.

3. Why other options are incorrect:

   • A) Zero-shot prompting: This refers to asking the model to perform tasks without providing any examples. The developer is actually providing context, so this isn't zero-shot.

   • C) Negative prompting: This involves telling the model what NOT to do, which isn't what's happening here.

   • D) Temperature adjustment: This refers to adjusting the randomness/creativity of responses, not adding contextual information.

4. Best practice: By enriching prompts with relevant context (policy document excerpts), the developer ensures the AI model has the specific information needed to provide consistent, accurate answers to policy-related questions, which is a key best practice in prompt engineering.