--- type: reference tags: - llm-evaluation - continuous-evaluation - ci status: active created: 2026-08-21 --- # 03 · Continuous Evaluation 主题:把评测从「手工跑一次」升级为「每次变更都会跑」 ## A 级资源 ### 1. CircleCI + RAGAS Continuous Eval - 价值不在 RAGAS 本身,而在: Eval → CI → Threshold → Gate - 真正要学习的是: Metric → Baseline → Threshold → Action 例如: - security_failure > 0 → fail - overall_pass_rate ↓ → review - latency regression → review - RAGAS 只是 grader/metric 工具 - 适合阶段:项目已有 regression set 后 ### 2. DeepLearning.AI + Weights & Biases - 真正适合学习的: Experiment Tracking / Run / Artifact / Version / Trace / Comparison - 建议用途:当你的目录开始出现 runs/、runs-v2/、runs-final/、runs-final-new/ 说明该学 experiment tracking 了 - 不建议:一开始就为了"专业"搭 W&B > 🔗 本页资源的完整链接、来源背景与上手建议见 [[01_Projects/Personal-Tech/LLM_Evaluation/04-Reference/archive/01-Curated-External-Resources|archive/01-Curated-External-Resources]]("云厂商生产环境"与"名校/大牛的工业级课程"两节)。