English(EN) How to Build Guardrails for LLM Chatbots or GEN AI applications: A Three-Layer Architecture

Towards AI 介绍 LLM 聊天机器人护栏的三层架构

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-05 21:01

本文提出了一种用于在大型语言模型 (LLM) 应用中实施护栏的三层架构。该框架包括提示工程、检索增强生成 (RAG) 和代理控制层。该方法旨在通过提供结构化的方法来管理生成式 AI 系统的输出和行为，从而提高其安全性和可靠性。 AI

影响为开发人员提供了一个结构化框架，用于在生成式 AI 应用中实施安全和控制机制。

排序理由该文章提出了构建 LLM 应用安全护栏的新颖架构方法，类似于一篇研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该文章提出了构建 LLM 应用安全护栏的新颖架构方法，类似于一篇研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: paper, safety; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: 156 days old; Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

Towards AI TIER_1 English(EN) · Katakamvivek · 2026-05-05 21:01

如何为LLM聊天机器人或生成式AI应用构建护栏：三层架构

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://pub.towardsai.net/how-to-build-guardrails-for-llm-chatbots-or-gen-ai-applications-a-three-layer-architecture-89779f4dddf1?source=rss----98111c9905da---4"><img src="https://cdn-images-1.medium.com/max/800/…