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The quiet problem with LLM-based data extraction that nobody talks about
The assumption has become almost automatic: if you need to extract structured data from web pages, you reach for an LLM. Feed it the HTML, write a prompt, get JSON back. It works in a demo. It works on ten pages. So teams build pipelines around it and move on. The problem shows up later, quietly, in production. When extraction fails without telling you The most dangerous failure mode in any data pipeline is not a crash. It is a wrong value that looks correct. LLM-based extrac

Minexa.ai
Jun 116 min read
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