The Statistical Debt of LLM Model Upgrades

Upgrading LLMs for cost efficiency often masks underlying shifts in statistical outputs that can compromise fairness and causal analysis. Establishing a robust abstraction layer is essential to mitigate the second-order effects of model drift and provider outages on sensitive data pipelines.