AWS Certified AI 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 response accuracy.

2. Scenario Analysis:

   • The FAQ bot was producing inconsistent answers to policy-related questions
   • The developer's solution was to update prompts to include excerpts from the company's policy document
   • This provides the AI model with specific, relevant context to reference when answering questions

3. Why other options are incorrect:

   • Zero-shot prompting (A): This refers to asking a model to perform a task without providing any examples. The scenario shows the developer is adding context, not using zero-shot.
   • Negative prompting (C): This involves telling the model what NOT to do, which isn't what's happening here.
   • Temperature adjustment (D): This controls the randomness/creativity of responses, not adding contextual information to prompts.

4. Best Practice: Adding relevant documents, guidelines, or specific context to prompts is a common best practice for improving consistency and accuracy in AI responses, especially for domain-specific questions like policy inquiries.