Back to Home11/18/2025, 6:43:12 PM

Insurance Data Extraction with LLMs

acesohc
1 points
1 comments

Mood

thoughtful

Sentiment

positive

Category

tech

Key topics

LLMs

Insurance Data Extraction

AI Reliability

The article discusses the challenges of using Large Language Models (LLMs) for insurance data extraction and potential solutions, with the discussion focusing on the need for accuracy and reliability in this context.

Snapshot generated from the HN discussion

Discussion Activity

Light discussion

First comment

N/A

Peak period

1

Hour 1

Avg / period

1

Comment distribution1 data points

Based on 1 loaded comments

Key moments

  1. 01Story posted

    11/18/2025, 6:43:12 PM

    16h ago

    Step 01
  2. 02First comment

    11/18/2025, 6:43:12 PM

    0s after posting

    Step 02
  3. 03Peak activity

    1 comments in Hour 1

    Hottest window of the conversation

    Step 03
  4. 04Latest activity

    11/18/2025, 6:43:12 PM

    16h ago

    Step 04

Generating AI Summary...

Analyzing up to 500 comments to identify key contributors and discussion patterns

Discussion (1 comments)
Showing 1 comments
acesohc
16h ago
We discuss how to make LLMs reliable for insurance data extraction. LLMs don't work out of the box. The challenge is staying accurate across messy submissions, conflicting fields, and complex extractions like property schedules. We break down the problems and solutions.
View full discussion on Hacker News
ID: 45970253Type: storyLast synced: 11/18/2025, 6:44:41 PM

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