data contamination

data contamination shows up constantly when teams ship LLM features. Practically, it influences how you design prompts, evaluate quality, and reason about failure modes. Teams should document how data contamination manifests in their stack—data handling, evaluation, and runtime guardrails—and revisit assumptions as models update.