Why traditional CI/CD fails for LLMs (and the release gates we built to fix it)

Traditional CI/CD gates are insufficient for production AI systems due to their inability to handle complex AI models. This leads to unpredictable behavior and potential failures. A practical release-gating approach is needed to ensure safe and reliable deployment of Large Language Models (LLMs). Engineers should consider implementing custom release gates to mitigate risks. This approach can help prevent unexpected issues in production.