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Ask HN: Is anyone using LLM based document processing in production?

7•asdev•17h ago
I'm wondering if anyone is actually using LLMs to process documents reliably in production. One hallucination could lead to a host of issues. For example, if someone is using LLMs to process documents and enter data into an ERP, if even one number is off it could cause accounting issues, inventory issues etc. Human in the loop doesn't help because the human would just have to read the document themselves to ensure accuracy, defeating the point of the automation.

Comments

cranberryturkey•17h ago
we're using it at SummaryForge
asdev•16h ago
in what context?
whinvik•16h ago
We are. But our usecase is more tolerant of failures so it's probably not as much of an issue.
asdev•15h ago
How do you remediate failures?
muzani•15h ago
I have a project with them, processing auto insurance claims. Mostly extracting details from police reports like license plate numbers, extracting details of the incident.

"Human in the loop doesn't help because the human would just have to read the document themselves to ensure accuracy, defeating the point of the automation."

They're doing it manually without it. Semi-auto beats manual readily. There's still checks like submission of the number to grab the details of the individuals involved, and if the names, vehicle type, etc don't match, that automatically flags that something's off.

f_k•10h ago
I'm working on this exact problem with https://citellm.com .

Every extracted field comes with a precise citation back to the source document (page + snippet + bounding box + confidence score) so reviewers can verify where each value came from.

Hallucinations get flagged automatically because there's no supporting text in the source.

The goal is to make HITL fast and not have reviewers read through the whole document.

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