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Cross-Cutting 1: AI Evaluation

Pervasive quality validation: Benchmark, Human Evaluation, LLM-as-a-Judge, Regression Testing, A/B Testing

Benchmark (MMLU / HumanEval / GSM8K)
LLM-as-a-Judge 自动化打分
Elo 对战评级
Task Success Rate 任务完成率
A/B 线上多臂老虎机分流
回归测试与质量防退化门禁
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Cross-Cutting 2: Full-Stack Security

Comprehensive security armor: Prompt Injection, Model Watermarking, Sandbox Runtime, Identity & Access Control

提示词注入与越狱防御
训练数据防投毒与脱敏
模型权重防逆向与水印
沙箱安全执行与隔离 (E2B)
API 鉴权与 RBAC 细粒度权限
敏感隐私数据 (PII) 拦截过滤
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Cross-Cutting 3: System Observability

Real-time production visibility: Logs, Metrics, Traces, Token Consumption, Waterfall Latency, Model Drift

OpenTelemetry 分布式链路追踪
逐 Token 延迟与首字时间 (TTFT)
多步 Agent 递归调用轨迹回放
Token 成本下钻与预警
模型数据分布漂移监控 (Data Drift)
在线用户点赞点踩即时反馈流
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Cross-Cutting 4: Governance & Compliance

Ensuring regulatory compliance: Data Governance, Model Governance, Copyright, Privacy, Risk Audits

训练语料版权合规与开源协议审计
欧盟 AI 法案 (EU AI Act) 与安全评估
企业数据主权与物理隔离
模型可解释性与幻觉责任归因
企业 AI 伦理委员会审查规范