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---
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