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Kyle Kranen

Published podcast speaker

Claims
8
Episodes
1
Shows
1
Named items
0

Claim ledger

What Kyle said.

2 transcript-backed records

01 / observation

Uh, the common models like Deeplearning recommendation model, which came outta meta and the wide and deep model, which was used or was released by Google were very accelerated by GPUs using, you know, the fast HBM on the chips, especially to do, you know, vector lookups.

“Uh, the common models like Deeplearning recommendation model, which came outta meta and the wide and deep model, which was used or was released by Google were very accelerated by GPUs using, you know, the fast HBM on the chips, especially to do, you know, vector lookups.”
Speaker
Kyle Kranen
Publisher
Latent Space

02 / observation

Hey, you know, how do you program something in Cuda and run it? And then, and then we built, you know, like when Deep Learning was getting big, we built, we built Torch and, and, but so recently the amount of like layers that are added to that developer stack has just exploded because AI has become ubiquitous.

“Hey, you know, how do you program something in Cuda and run it? And then, and then we built, you know, like when Deep Learning was getting big, we built, we built Torch and, and, but so recently the amount of like layers that are added to that developer stack has just exploded because AI has become ubiquitous.”
Speaker
Kyle Kranen
Publisher
Latent Space
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