Davis Summarizes Papers

Davis Summarizes Papers

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2024-8-4 arXiv roundup: LLama 3.1, training a 100T biological neural net
In case you’re wondering what I’ve been up to instead of posting for the past couple months, I was kicking off a training run for a 100T parameter…
 • Davis Blalock
2024-4-28 arXiv roundup: data and scaling, backlog highlights part 3
Besides getting to cover unusually interesting work, the upside of having a big backlog is that you can group your coverage thematically.
 • Davis Blalock
Research Archetypes: Scientists, Mathematicians, Inventors
What "research" entails day-to-day varies by field, subfield, problem, and individual researcher.
 • Davis Blalock
2024-4-14 arXiv roundup: backlog highlights part 2
Bunch of interesting stuff this week. Before we jump in, one quick clarification from last week: I mentioned how it was an interesting marketing lesson…
 • Davis Blalock
2024-4-7 arXiv roundup: DBRX, Backlog highlights part 1
It’s good to be back.
 • Davis Blalock
2023-11-26 arXiv roundup: Big potential wins, 1 bit per parameter, Simplifying transformers
Stella Nera: Achieving 161 TOp/s/W with Multiplier-free DNN Acceleration based on Approximate Matrix Multiplication
 • Davis Blalock
2023-11-19 arXiv roundup: Inverse-free inverse Hessians, Faster LLMs, Closed-form diffusion
A fundamental result in queueing theory is that, if items enter the queue faster than they’re processed, the length of the queue tends to infinity.
 • Davis Blalock
Davis Summarizes Papers
Davis Summarizes Papers
I go through all the machine learning arXiv submissions each week and summarize 10 to 20 of my favorites. Free forever and read by thousands of ML researchers and practitioners.
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