Evaluating open-ended LLM outputs like creative writing or chatbot conversations is tricky. Traditional metrics miss nuance like tone or style, and human review doesn't scale. LLM-as-a-judge offers a practical alternative.
This guide explores the concept of using LLMs to evaluate LLM outputs and what makes it effective. You'll also learn how to create custom LLM evaluators tuned to your criteria and preferences.
What we will cover:
How LLM-as-a-judge works and why it’s effective
How to build an LLM evaluator and craft good prompts
Pros, cons, and alternatives to LLM evaluations
This guide is for anyone working on an LLM-powered product and wondering if this technique could work for them.
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