AI Judges Emerge to Assess Machine Learning Outputs
Summary
AI judges, powered by large language models, are emerging to automatically evaluate outputs from machine learning systems, offering various evaluation methods like comparing outputs, scoring, and pass/fail judgments, but require testing against human evaluators and cost considerations.
Key Points
- LLMs can be utilized as judges to automatically evaluate outputs from machine learning systems
- Different evaluation methods include comparing two outputs, scoring outputs, and pass/fail judgments
- It is important to test the LLM judge against human evaluators and consider the cost of frequent LLM requests