📄 中文摘要
大型语言模型（LLM）已不再是实验性的附加功能，而是嵌入到客户支持工作流程、内部助手、数据增强管道、内容系统、合规检查以及越来越多的创收功能中。工程挑战不再是“我们能否调用 LLM API？”，而是“我们能否在规模上可靠、可预测和安全地操作 LLM 驱动的系统？”Orq.ai 在这一背景下应运而生，旨在解决如何高效管理和控制 LLM 系统的复杂性，确保其在实际应用中的稳定性和安全性。
Orq.ai 解析：在生产中操作大型语言模型系统而不失控
📄 English Summary
Orq.ai Explained: Operating LLM Systems in Production Without Losing Control
Large Language Models (LLMs) have transitioned from experimental add-ons to integral components of customer support workflows, internal copilots, data enrichment pipelines, content systems, compliance checks, and increasingly, revenue-generating features. The engineering challenge has shifted from 'Can we call an LLM API?' to 'Can we operate LLM-powered systems reliably, predictably, and safely at scale?' Orq.ai emerges in this context to address the complexities of effectively managing and controlling LLM systems, ensuring their stability and safety in real-world applications.