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1.
▲
HipKittens: Fast and furious AMD kernels
(hazyresearch.stanford.edu)
244 points
dataminer
7 months ago
91 comments
2.
▲
Ask HN: Transformer alternatives that could have emergent properties when scaled
6 points
s_r_n
3 years ago
3 comments
3.
▲
GPUs Go Brrr
(hazyresearch.stanford.edu)
1104 points
nmstoker
2 years ago
263 comments
4.
▲
We bought the whole GPU, so we're damn well going to use the whole GPU
(hazyresearch.stanford.edu)
504 points
sydriax
8 months ago
110 comments
5.
▲
From deep to long learning?
(hazyresearch.stanford.edu)
499 points
headalgorithm
3 years ago
117 comments
6.
▲
AMD GPUs Go Brrr
(hazyresearch.stanford.edu)
268 points
vinhnx
7 months ago
92 comments
7.
▲
Look Ma, No Bubbles: Designing a Low-Latency Megakernel for Llama-1B
(hazyresearch.stanford.edu)
236 points
ljosifov
a year ago
31 comments
8.
▲
How to scale LLMs better with an alternative to transformers
(hazyresearch.stanford.edu)
156 points
tuxguy
3 years ago
31 comments
9.
▲
Batch computing and the coming age of AI systems
(hazyresearch.stanford.edu)
123 points
headalgorithm
3 years ago
32 comments
10.
▲
Learning From DNA: a grand challenge in biology
(hazyresearch.stanford.edu)
119 points
ninjha01
2 years ago
26 comments
11.
▲
ThunderKittens: Simple, fast, and adorable AI kernels
(hazyresearch.stanford.edu)
87 points
lnyan
2 years ago
18 comments
12.
▲
Towards Interactive Weak Supervision with FlyingSquid
(hazyresearch.stanford.edu)
75 points
danfu09
6 years ago
6 comments
13.
▲
Long Convolutions via Polynomial Multiplication
(hazyresearch.stanford.edu)
46 points
cochlear
a year ago
13 comments
14.
▲
The Safari of Deep Signal Processing: Hyena and Beyond
(hazyresearch.stanford.edu)
20 points
T-A
3 years ago
3 comments
15.
▲
Long-Context Retrieval Models with Monarch Mixer
(hazyresearch.stanford.edu)
15 points
tosh
2 years ago
discuss
16.
▲
Mind the Trust Gap: Fast, Private Local-to-Cloud LLM Chat
(hazyresearch.stanford.edu)
11 points
wolecki
a year ago
2 comments
17.
▲
Cartridges: Storing long contexts in tiny caches with self-study
(hazyresearch.stanford.edu)
10 points
rsehrlich
a year ago
discuss
18.
▲
AMD GPUs Go Brrr
(hazyresearch.stanford.edu)
9 points
todsacerdoti
7 months ago
discuss
19.
▲
HipKittens: Fast and Furious AMD Kernels
(hazyresearch.stanford.edu)
8 points
mpweiher
7 months ago
discuss
20.
▲
ParallelKittens: Simple and Fast Multi-GPU AI Kernels
(hazyresearch.stanford.edu)
7 points
pella
7 months ago
discuss
21.
▲
Software 2.0 and Data Programming: Lessons Learned, and What’s Next
(hazyresearch.stanford.edu)
6 points
danfu09
6 years ago
discuss
22.
▲
HipKittens: Fast and Furious AMD Kernels
(hazyresearch.stanford.edu)
4 points
pella
7 months ago
1 comment
23.
▲
ThunderKittens update: Lots of new kernels, models and adorable kittens
(hazyresearch.stanford.edu)
4 points
schyzomaniac
2 years ago
1 comment
24.
▲
ThunderKittens 2.0: Even Faster Kernels for Your GPUs
(hazyresearch.stanford.edu)
3 points
matt_d
3 months ago
2 comments
25.
▲
The Great American AI Race
(hazyresearch.stanford.edu)
3 points
djoldman
a year ago
1 comment
26.
▲
Long-Context Retrieval Models with Monarch Mixer
(hazyresearch.stanford.edu)
3 points
T-A
2 years ago
1 comment
27.
▲
Monarch Mixer: Revisiting Bert, Without Attention or MLPs
(hazyresearch.stanford.edu)
3 points
panabee
3 years ago
1 comment
28.
▲
ThunderKittens 2.0: Even Faster Kernels for Your GPUs
(hazyresearch.stanford.edu)
3 points
PaulHoule
3 months ago
discuss
29.
▲
Linearizing LLMs with LoLCATs
(hazyresearch.stanford.edu)
3 points
dsr12
2 years ago
discuss
30.
▲
Based: An Educational and Effective Sequence Mixer
(hazyresearch.stanford.edu)
3 points
yurivish
2 years ago
discuss
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