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What practical systems knowledge do you think modern LLM engineers are missing?

This story is from 2026-09-10. It is preserved in the archive; the latest stories are on the live feed.

There is obviously a lot of discussion around model capabilities, but I’m curious about the engineering side of deploying LLM-based systems. For people working on production systems, where do you most often see gaps? Retrieval evaluation? Data quality? Serving/inference? Observability? Distributed…

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  1. 2026-09-10 18:13 · r/learnmachinelearning
    What practical systems knowledge do you think modern LLM engineers are missing?

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