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Many generative AI projects will be abandoned after proof of concept — and not because the technology doesn’t work, but because the engineering is falling short. Here’s how to fix it.
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This is the gap most companies don’t see coming. They spend months evaluating which large language model (LLM) to use (GPT-4o, Claude, Gemini) and almost no time thinking about the infrastructure that will keep it running reliably. That’s the wrong order of operations. The model is usually the least of your problems.
