LLM-as-a-Judge: A Practical Guide

The article introduces the concept of leveraging large language models (LLMs) as automated judges to evaluate other AI models, aiming to scale beyond traditional manual review processes. It discusses practical strategies for implementing LLM-based evaluation frameworks, emphasizing techniques such as prompt engineering, calibration, and iterative feedback to enhance assessment accuracy and consistency at scale.