LLM Evaluation Basics for Engineering Teams
How to build a reliable evaluation loop for large language model products.
2/20/2026-1 min read-AI Engineering-Mubin Ahmed
Teams fail with LLM projects when they skip evaluation design.
Define measurable quality first
Before optimizing prompts or models, define business and technical metrics.
Common metric layers
- Task accuracy
- Hallucination rate
- Latency and cost
npm run eval -- --dataset ./eval/customer-support.jsonBuild an iterative loop
Ship small, measure continuously, and treat prompts like versioned software artifacts.