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Safety, Reliability & Best Practices in LangChain4j

12 3月, 2026 | 4:00 下午 - 5:00 下午 (UTC) 國際標準時間

  • 格式:
  • alt##Livestream線上直播

主題: 程式設計、語言與架構

語言: 英文

Learn how to build safe, reliable, and enterprise-ready AI applications in Java, including how to protect API keys and model endpoints, validate tool output, enforce content filters, and keep LLMs from stepping outside their intended boundaries. See how to design prompts defensively, restrict system capabilities, and use structured interfaces to avoid injection attacks. We'll also explore patterns for safe RAG, secure memory, and audit-ready logging that make your Langchain4j applications trustworthy, enterprise-grade, and ready for real users.Learn how to build safe, reliable, and enterprise-ready AI applications in Java, including how to protect API keys and model endpoints, validate tool output, enforce content filters, and keep LLMs from stepping outside their intended boundaries. See how to design prompts defensively, restrict system capabilities, and use structured interfaces to avoid injection attacks. We'll also explore patterns for safe RAG, secure memory, and audit-ready logging that make your Langchain4j applications trustworthy, enterprise-grade, and ready for real users.

必要條件

Check out the LangChain4j beginners series: https://aka.ms/langchain4j-for-beginners
Sign up for an Azure free trial: https://aka.ms/AzureFreeTrialDevRelAll

  • Java

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本頁面的一部分可能是機器翻譯或人工智能翻譯的.