Atlas · GenAI 2026
LLM Testing
LLM system testing (unit, integration, schema adherence, regression)
conceptPeak: 2024LLM TestingAI consensus: 1/3
Prerequisites
Schema adherence tests validate that LLM outputs match expected JSON schemas — structured output understanding is required
- mediumML CI/CD
LLM system tests are typically run within CI/CD pipelines — understanding CI/CD helps integrate tests into workflows
Recommended reference
Breck et al. (2017) 'The ML Test Score: A Rubric for ML Production Readiness' — Google; adapted for LLM systems by Anthropic eval docs
Notes from AI deep research
Anthropic Opus
Unit/integration testy LLM. Schema adherence, regression. Bez testow zmiana prompta = rosyjska ruletka
OpenAI Deep Research
Bez testów zmiany w promptach/modelach ryzykowne [OA#47]
Related skills
- ← is part of: AI Output Verification(3/3)
- ← is part of: LLM Evaluation Design(3/3)
- → is part of: MLOps(3/3)
- ← is part of: Stochastic System Debugging(3/3)
- ← is subcategory of: LLM Evaluation Frameworks(2/3)
- → is part of: LLM Inference Serving(1/3)