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Towards AI details three-layer architecture for LLM chatbot guardrails

This article proposes a three-layer architecture for implementing guardrails in large language model (LLM) applications. The proposed framework includes layers for prompt engineering, Retrieval-Augmented Generation (RAG), and agentic control. This approach aims to enhance the safety and reliability of generative AI systems by providing structured methods for managing their outputs and behaviors. AI

IMPACT Provides a structured framework for developers to implement safety and control mechanisms in generative AI applications.

RANK_REASON The article presents a novel architectural approach for building safety guardrails for LLM applications, akin to a research paper. [lever_c_demoted from research: ic=1 ai=1.0]

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Towards AI details three-layer architecture for LLM chatbot guardrails

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The article presents a novel architectural approach for building safety guardrails for LLM applications, akin to a research paper. [lever_c_demoted from research: ic=1 ai=1.0]
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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.
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paper, safety
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High
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143 days old
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COVERAGE [1]

  1. Towards AI TIER_1 English(EN) · Katakamvivek ·

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

    <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/…