Golden Sets, Regression Tests, and Eval Stores
Golden Sets, Regression Tests, and Eval Stores are key components in evaluating Large Language Models (LLMs). Golden Sets are curated datasets with correct answers used as benchmarks. Regression Tests ensure that new model updates do not degrade existing performance by comparing outputs against previous results. Eval Stores are repositories that organize, track, and manage evaluation data and results. Together, they provide structured, repeatable, and reliable methods to assess and improve LLM accuracy and consistency.
Golden Sets, Regression Tests, and Eval Stores
Golden Sets, Regression Tests, and Eval Stores are key components in evaluating Large Language Models (LLMs). Golden Sets are curated datasets with correct answers used as benchmarks. Regression Tests ensure that new model updates do not degrade existing performance by comparing outputs against previous results. Eval Stores are repositories that organize, track, and manage evaluation data and results. Together, they provide structured, repeatable, and reliable methods to assess and improve LLM accuracy and consistency.
💡 Key Takeaways
- Understand what a golden set is and how it serves as a ground-truth reference for validating outputs.
- Learn how regression tests help detect unintended changes after code, model, or data updates.
- Discover what an eval store is and how it centralizes evaluation metrics, results, and versioning.
- See how to weave golden sets, regression tests, and eval stores into a repeatable CI/CD or QA workflow.
❓ Frequently Asked Questions
What is a golden set?
A golden set is a reference dataset with ground-truth labels used to evaluate results against a known standard.
What is a regression test?
A regression test checks that recent changes haven't broken existing functionality by re-running a suite of tests.
What is an eval store?
An eval store is a repository that records evaluation metrics, predictions, and related artifacts for auditing and comparison over time.
How do golden sets, regression tests, and eval stores fit together?
Golden sets provide a stable benchmark, regression tests verify no regressions on that benchmark and other tests, and eval stores persist results so you can monitor performance over time.