“I had like 2,000 passwords… how much faster it would have been to use Jev and some of the metadata to just pair those up and merge them.”
JL
John Lindquist
How I AI ·
“It can go through and say this one wants to merge… it can go through and apply those merges for you by matching together and classifying, is this one close enough to that one?”
John Lindquist · How I AI · Jev: 8 real use cases for the fastest, cheapest model I’ve ever used | John Lindquist
Play from 12:03
12:03
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What was described
used Jev to merge duplicate contact records by matching names and applying a confidence threshold
Said nearby on the same subject
“You can set those parameters… if you want them only to merge if you're like 99% or more confident.”
JL
John Lindquist
How I AI ·
“We merged those back together. And then the AIs started to pick up good practices from one and apply it to the others”
JE
Joy Eberts
The InfoQ Podcast ·
“ODP has APIs in real-time for over 250 names. It gives me increased confidence in my forward projections. It's a game-changer in generating alpha.”
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