GitHub shares lessons for evaluating LLMs before production deployment. The post focuses on real-world secret scanning, covering practical evaluation methods, metrics, and common pitfalls. It emphasizes testing on domain-specific data rather than relying only on generic benchmarks, giving AI developers a framework for assessing model performance in specialized production tasks.
Opening Kapyn…