“I built, like, a home cluster, GPU cluster. And actually, I originally started kind of serving the site from my home cluster at home.”
DT
Devin Thomas
This Week in Startups ·
“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.”
John Lindquist · How I AI · Jev: 8 real use cases for the fastest, cheapest model I’ve ever used | John Lindquist
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18:08
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What was described
implemented real-time search by clustering results into groups of 30-60, scoring and ranking each cluster with Jev
clusters of 30-60 items
Said nearby on the same subject
“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”
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Said on Latent Space: The AI Engineer Podcast
“You can rent a cluster and someone else can take over that cluster, that's the whole point of the fungibility and financeability of compute”
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Said on Monetary Matters with Jack Farley
“We are the first customers of the largest group and cluster on GCP… one rack can basically be considered like one machine… very high bandwidth between the nodes”
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Said on Training Data
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