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1.

HipKittens: Fast and furious AMD kernels

hazyresearch.stanford.edu

7 months ago

244 points

2.

Ask HN: Transformer alternatives that could have emergent properties when scaled

3 years ago

6 points

3.

hazyresearch.stanford.edu

2 years ago

1104 points

4.

We bought the whole GPU, so we're damn well going to use the whole GPU

hazyresearch.stanford.edu

9 months ago

504 points

5.

From deep to long learning?

hazyresearch.stanford.edu

3 years ago

499 points

6.

AMD GPUs Go Brrr

hazyresearch.stanford.edu

7 months ago

268 points

7.

Look Ma, No Bubbles: Designing a Low-Latency Megakernel for Llama-1B

hazyresearch.stanford.edu

a year ago

236 points

8.

How to scale LLMs better with an alternative to transformers

hazyresearch.stanford.edu

3 years ago

156 points

9.

Batch computing and the coming age of AI systems

hazyresearch.stanford.edu

3 years ago

123 points

10.

Learning From DNA: a grand challenge in biology

hazyresearch.stanford.edu

2 years ago

119 points

11.

ThunderKittens: Simple, fast, and adorable AI kernels

hazyresearch.stanford.edu

2 years ago

87 points

12.

Towards Interactive Weak Supervision with FlyingSquid

hazyresearch.stanford.edu

6 years ago

75 points

13.

Long Convolutions via Polynomial Multiplication

hazyresearch.stanford.edu

2 years ago

46 points

14.

The Safari of Deep Signal Processing: Hyena and Beyond

hazyresearch.stanford.edu

3 years ago

20 points

15.

Long-Context Retrieval Models with Monarch Mixer

hazyresearch.stanford.edu

2 years ago

15 points

16.

Mind the Trust Gap: Fast, Private Local-to-Cloud LLM Chat

hazyresearch.stanford.edu

a year ago

11 points

17.

Cartridges: Storing long contexts in tiny caches with self-study

hazyresearch.stanford.edu

a year ago

10 points

18.

AMD GPUs Go Brrr

hazyresearch.stanford.edu

7 months ago

9 points

19.

HipKittens: Fast and Furious AMD Kernels

hazyresearch.stanford.edu

7 months ago

8 points

20.

ParallelKittens: Simple and Fast Multi-GPU AI Kernels

hazyresearch.stanford.edu

7 months ago

7 points

21.

Software 2.0 and Data Programming: Lessons Learned, and What’s Next

hazyresearch.stanford.edu

6 years ago

6 points

22.

HipKittens: Fast and Furious AMD Kernels

hazyresearch.stanford.edu

7 months ago

4 points

23.

ThunderKittens update: Lots of new kernels, models and adorable kittens

hazyresearch.stanford.edu

2 years ago

4 points

24.

ThunderKittens 2.0: Even Faster Kernels for Your GPUs

hazyresearch.stanford.edu

4 months ago

3 points

25.

The Great American AI Race

hazyresearch.stanford.edu

a year ago

3 points

26.

Long-Context Retrieval Models with Monarch Mixer

hazyresearch.stanford.edu

2 years ago

3 points

27.

Monarch Mixer: Revisiting Bert, Without Attention or MLPs

hazyresearch.stanford.edu

3 years ago

3 points

28.

ThunderKittens 2.0: Even Faster Kernels for Your GPUs

hazyresearch.stanford.edu

3 months ago

3 points

29.

Linearizing LLMs with LoLCATs

hazyresearch.stanford.edu

2 years ago

3 points

30.

Based: An Educational and Effective Sequence Mixer

hazyresearch.stanford.edu

3 years ago

3 points