Insurance Data Extraction with Llms
Postedabout 2 months ago
adaptional.comTechstory
calmpositive
Debate
0/100
Large Language ModelsInsurance Data ExtractionAI Reliability
Key topics
Large Language Models
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 discussionFirst comment
N/A
Peak period
1
Start
Avg / period
1
Key moments
- 01Story posted
Nov 18, 2025 at 1:43 PM EST
about 2 months ago
Step 01 - 02First comment
Nov 18, 2025 at 1:43 PM EST
0s after posting
Step 02 - 03Peak activity
1 comments in Start
Hottest window of the conversation
Step 03 - 04Latest activity
Nov 18, 2025 at 1:43 PM EST
about 2 months ago
Step 04
Generating AI Summary...
Analyzing up to 500 comments to identify key contributors and discussion patterns
Discussion (1 comments)
Showing 1 comments
acesohcAuthor
about 2 months 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
Want the full context?
Jump to the original sources
Read the primary article or dive into the live Hacker News thread when you're ready.