Production LLM Evaluation Must Go Beyond Accuracy
Technology teams are moving quickly in LLM evaluation, but useful adoption depends on understanding both the opportunity and the operational risk.
What is changing
A single benchmark rarely predicts application quality. Production systems fail through stale retrieval, tool mistakes, long latency and inconsistent behavior across user groups.
What technology leaders should do
Build a versioned evaluation set from real tasks, define pass thresholds and compare every prompt, model or retrieval change before release.
The practical goal is not to adopt every new capability. It is to choose a clear use case, establish measurable success criteria, and build security and accountability into the system from the beginning.
Official reference
This technology brief is an original summary by Tinker Technology and should be evaluated against your organisation's requirements.