Eval harness design, CI/CD gates, LLM-as-judge calibration
3 sections
Learn to design and build a production eval harness from scratch — dataset management, metric registry, result storage, reporting, and the architecture decisions that make it maintainable at scale.
Wire LLM evaluation into your deployment pipeline — automated gates that block regressions, change-triggered eval runs, and the rollback procedures that keep production safe.
Learn to use LLMs as evaluators reliably — detecting and mitigating position bias, verbosity bias, and self-preference bias, and calibrating your judge to match human ground truth.