Posts Tagged "LLM"
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Guardrails Without a Gatekeeper: Six Rules for Autonomous LLM Applications
Six practical guardrails for a public LLM chatbot: evaluate outputs, constrain context, verify users, cap cost, choose modest models, and fail safely.
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Securely Integrating LLMs with Proprietary Data Using MCP
A hands-on walkthrough of how Model Context Protocol (MCP) enables AI agents to securely access proprietary real-time data and documents — with architecture, demo setup, and working code.
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