6h ago

Systems engineer Yacine recommends training models on a single GPU in under one minute to maximize research learning rates

Lucas Beyer clarified BiternionNet was developed at RWTH Aachen

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Original post
OPkache#488kache@YACINEMTB

if you're doing AI research at all; I recommend doing the "ETH zurich" route Train models that use a single GPU. Make sure that it takes less than a minute to train models. Pufferlib is a great example. The more models you train the more you learn

6:48 AM · May 26, 2026 View on X
REPLYLucas Beyer (bl16)#55Lucas Beyer (bl16)@GIFFMANA

@yacineMTB Btw this is my model/code i wrote while i was at RWTH Aachen, Long before my Zürich time :) (And I've never been student at ETH)

kachekache@yacineMTB

if you're doing AI research at all; I recommend doing the "ETH zurich" route Train models that use a single GPU. Make sure that it takes less than a minute to train models. Pufferlib is a great example. The more models you train the more you learn

1:48 PM · May 26, 2026 · 117.9K Views
6:52 PM · May 26, 2026 · 848 Views
QUOTE POSTLucas Beyer (bl16)#55Lucas Beyer (bl16)@GIFFMANA

@yacineMTB These two posts (Yacine and PINTO) motivated me to write up more info about this project, if anyone is curious:

Lucas Beyer (bl16)Lucas Beyer (bl16)@giffmana

Alright, it's time for a paper thread about my own first ever vision paper, which is having a bit of a moment on twitter rn thanks to @PINTO03091 and @yacineMTB. BiternionNets: continuous head orientation from discrete labels. Demo video from ~11y ago:

7:29 PM · May 26, 2026 · 6.2K Views
7:32 PM · May 26, 2026 · 325 Views
Systems engineer Yacine recommends training models on a single GPU in under one minute to maximize research learning rates · Digg