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How fast can we perform a forward pass?

3 years ago 18 min read
Thanks to Hao Zhang, Kayvon Fatahalian, and Jean-Stanislas Denain for helpful discussions and comments. Addendum and erratum. See here [https://kipp.ly/blog/transformer-inference-arithmetic/] for an excellent discussion of similar ideas by Kipply
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Jacob Steinhardt
By: Jacob Steinhardt

Early 2022 Paper Round-up (Part 2)

3 years ago 6 min read
Last week [https://bounded-regret.ghost.io/early-2022-paper-round-up/], I talked about six recent papers from our group, and discussed the first two in detail. This week, I'll discuss the remaining four. They
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Jacob Steinhardt
By: Jacob Steinhardt

Early 2022 Paper Round-up

3 years ago 4 min read
My students and collaborators have been doing some particularly awesome work over the past several months, and to highlight that I wanted to summarize their papers here, and explain why I’m excited
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Jacob Steinhardt
By: Jacob Steinhardt

Appendix: More Is Different In Other Domains

3 years ago 4 min read
In Future ML Systems Will Be Qualitatively Different [https://bounded-regret.ghost.io/p/1527e9dd-c48d-4941-9b14-4f7293318d5c/], I argued that we should expect ML systems to exhibit emergent capabilities. My main support for this was four
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Jacob Steinhardt
By: Jacob Steinhardt

Empirical Findings Generalize Surprisingly Far

3 years ago 6 min read
Previously, I argued [https://bounded-regret.ghost.io/p/1527e9dd-c48d-4941-9b14-4f7293318d5c/] that emergent phenomena in machine learning mean that we can't rely on current trends to predict what the future of ML will
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Jacob Steinhardt
By: Jacob Steinhardt
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