# validation
標記為「validation」的 6 篇文章
Training Data Integrity
Defense-focused guide to ensuring training data has not been poisoned, covering label flipping, backdoor insertion, clean-label attacks, data validation pipelines, provenance tracking, and anomaly detection.
Dual LLM Architecture Setup
Step-by-step walkthrough for implementing a dual LLM pattern where one model generates responses and a second model validates them, covering architecture design, validator prompt engineering, latency optimization, and failure handling.
Structured Output Validation
Step-by-step walkthrough for validating structured LLM outputs against schemas, covering JSON schema validation, type coercion, constraint enforcement, and handling malformed model outputs gracefully.
訓練 Data Integrity
防禦-focused guide to ensuring training data has not been poisoned, covering label flipping, backdoor insertion, clean-label attacks, data validation pipelines, provenance tracking, and anomaly detection.
雙 LLM 架構設置
實作雙 LLM 模式之逐步流程——一個模型產生回應、第二個模型驗證之，涵蓋架構設計、驗證者提示工程、延遲最佳化與失敗處理。
Structured Output Validation
Step-by-step walkthrough for validating structured LLM outputs against schemas, covering JSON schema validation, type coercion, constraint enforcement, and handling malformed model outputs gracefully.