Tools & Frameworks
A/B Testing LLMs
Quick Answer
Comparing model outputs against baselines through controlled experiments to measure improvements.
A/B testing compares models or prompts. Testing splits traffic between variants. Testing measures impact on metrics. Testing enables data-driven improvements. Testing requires careful experimental design. Testing identifies winners. Testing is standard in ML. Testing drives product improvements.
Last verified: 2026-04-08