Automated Evaluation Pipelines Quiz

What you'll be asked

1. What is the primary purpose of an automated evaluation pipeline in GenAI development?
2. When using an 'LLM-as-a-judge' approach for automated evaluation, which of the following is considered a best practice?
3. Which metric is most appropriate for evaluating a RAG (Retrieval-Augmented Generation) system's ability to avoid hallucinations?
4. Why is it important to include a 'Golden Dataset' in your automated evaluation pipeline?
5. You observe that your LLM-as-a-judge evaluation results show high variance (low reproducibility) across multiple runs. Which technique is most effective for mitigating this issue?

Answers and explanations come after you submit.