validate-evaluator

What problem does it solve?

This Skill ensures that your LLM-based judges are accurately evaluating outputs by calibrating them against human judgment, preventing biased or unreliable assessments.

Core Features & Use Cases

• LLM Judge Calibration: Fine-tune LLM judges to align with human-defined Pass/Fail criteria.
• Performance Measurement: Quantify judge accuracy using True Positive Rate (TPR) and True Negative Rate (TNR).
• Bias Correction: Apply statistical methods to estimate the true success rate of the judge on production data.
• Use Case: After developing a judge prompt to evaluate customer support responses, use this skill to test its performance against human-labeled examples, ensuring it correctly identifies both good and bad responses before deploying it.

Quick Start

Use the validate-evaluator skill to calibrate the LLM judge against the provided human-labeled dataset.