Definition
Prompt Evaluation is the systematic process of measuring the quality, accuracy, and safety of LLM outputs against specific benchmarks, utilizing quantitative metrics or 'LLM-as-a-judge' frameworks to validate RAG pipeline reliability. It involves balancing the architectural trade-off between the high-cost accuracy of human-in-the-loop validation and the high-velocity scalability of automated semantic scoring.
Distinguish from Prompt Engineering; evaluation is the measurement of the result, whereas engineering is the design of the input.
"A rigorous Quality Control line in a factory where every finished product is measured against a master blueprint for defects."
- LLM-as-a-judge(Implementation Method)
- Golden Dataset(Prerequisite)
- Faithfulness(Component Metric)
- Context Relevancy(Component Metric)
Conceptual Overview
Prompt Evaluation is the systematic process of measuring the quality, accuracy, and safety of LLM outputs against specific benchmarks, utilizing quantitative metrics or 'LLM-as-a-judge' frameworks to validate RAG pipeline reliability. It involves balancing the architectural trade-off between the high-cost accuracy of human-in-the-loop validation and the high-velocity scalability of automated semantic scoring.
Disambiguation
Distinguish from Prompt Engineering; evaluation is the measurement of the result, whereas engineering is the design of the input.
Visual Analog
A rigorous Quality Control line in a factory where every finished product is measured against a master blueprint for defects.