LLM Evaluation & Benchmarking Beyond RAGAS: Production Eval Systems That Actually Work
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LLM Evaluation & Benchmarking Beyond RAGAS: Production Eval Systems That Actually Work
Build production-grade LLM evaluation from scratch: async JudgeClient, position-bias-corrected pairwise comparison, rubric scoring with normalization, judge calibration, meta-evaluation, human eval with SQLite and Cohen's kappa, pytest CI/CD integration, eval dataset construction, bootstrap confidence intervals, and online monitoring.
May 31, 2026
#llm#evaluation#benchmarking