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AI Engineering
How to Evaluate AI Model Enhancements
Model improvements should be measured against the tasks, edge cases, and user expectations that matter in production.
By RaydyantRaydyant Insights
A new prompt, retrieval strategy, or fine-tuning run can look impressive in a handful of examples and still fail on the cases users care about.
Build an evaluation set from real questions, include difficult cases, track regressions, and combine automated checks with human review for quality that reflects the product.
Good digital work keeps learning after launch. The ideas in this article are starting points for a conversation about the people, workflows, and outcomes behind your product.
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