Woodpecker Software Testing

Apr 19, 2026 · Artificial Intelligence

Common LLM Testing Pitfalls That 90% of Test Experts Encounter

The article examines four frequent mistakes when testing large language models—misusing functional coverage, conflating hallucination detection with fact‑checking, ignoring multi‑turn interaction decay, and relying on traditional performance metrics—while offering concrete verification methods, tools, and real‑world results to improve AI quality assurance.