Amazon’s Plumbline validates LLM training correctness

Amazon has developed Plumbline, a correctness validation system for large language model training that checks the lifecycle from data to served models and traces failures to their root causes. Across three frameworks and five models, the system identified 61 problems, including 32 silent failures, leading to 42 fixes or upstream reports. Plumbline supports Day-0 model onboarding and failure diagnosis through a systematic correctness methodology. Open article →