“You can cluster groups of 30 or 50 or 60 and score them and rank them. That is a much faster way to build… real time search with Jev.”
JL
John Lindquist
How I AI ·
“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.”
John Lindquist · How I AI · Jev: 8 real use cases for the fastest, cheapest model I’ve ever used | John Lindquist
Play from 13:29
13:29
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What was described
performed pairwise comparison on 2,000 passwords to deduplicate them using Jev’s fast similarity scoring
2,000 passwords
Said nearby on the same subject
“That's why most people should be using password managers… Bitwarden is what I use… 1Password… Apple passwords… KeyPass XC… Google password manager… Microsoft password manager”
MP
Mike Piper
The Long View ·
“I use voice notes to Claude. Claude takes my scores. The LLM as a judge, ranks them, and then puts them together in a presentation.”
♫
Said on How I AI
“We did clustering of building blocks on similarity and avoided entire clusters from being overlapped between test and train… performance drops when we do that”
♫
Said on Latent Space: The AI Engineer Podcast
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