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AI
Practical AI for people who have to run it, secure it, or pay for it. This category covers choosing between fine-tuning, RAG and prompt engineering, picking an agent framework, cutting token costs with prompt caching, and locking down Azure OpenAI with private endpoints, Entra ID authentication and content filtering. It also covers the failure modes: Copilots that surface data users should not see, and AI gateways that become control-plane targets. The posts assume you are putting AI features into an existing environment with real permissions, budgets and audit requirements.
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