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Engineering guidance and considered points of view for business and technical decision makers building with AI.
Software Engineering · · 2 min read
Without evaluation, every prompt or model change is a guess. How to build an evaluation practice for LLM applications that fits into normal software delivery.
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Retrieval augmented generation is easy to demo and hard to operate. These are the engineering decisions that separate a reliable knowledge assistant from a prototype.
Agents are powerful but not always the right tool. A practical way to decide between deterministic workflows, AI assisted steps, and autonomous agents.
Moving a vision model from a GPU server to an embedded device changes the engineering. Here is what to plan for, from model selection to fleet updates.
AI can make recruitment faster and more consistent, but only if it is designed to support decisions rather than make them. Principles for responsible recruitment systems.
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