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A/B Testing for LLMs

Master the design of an A/B testing framework for LLM-powered features, including metric selection, sample size calculations, and automated guardrails.

What you'll master

A/B testing fundamentals for ML systems

Metric selection for LLM products

Statistical significance and sample sizing

Guardrail metrics for safety

Interleaving experiments

Multi-armed bandits vs classical A/B tests

Sequential testing and spending functions

Medium25 min readIncludes code examples, architecture diagrams, and expert-level follow-up questions.

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Code examplesArchitecture diagramsModel answersScoring rubricCommon pitfallsFollow-up Q&A

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