Tag: AI testing
22Mar
Correlation Between Offline Scores and Real-World LLM Performance
Offline benchmarks often overstate LLM performance. Real-world use reveals dramatic drops in accuracy, speed, and reliability. Learn why standard tests fail and how to evaluate models properly for production.
27Feb
Test Coverage Targets for AI-Generated Code: What's Realistic and Useful
Traditional 80% test coverage isn't enough for AI-generated code. Learn the realistic coverage targets by risk level, why mutation testing matters, and how to avoid costly failures with practical, data-backed strategies.