Gamaleldin Elsayed Profile
Gamaleldin Elsayed

@gamaleldinfe

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Following
628
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270

Research Scientist at Google DeepMind (Gemini)/Olympic Fencer.

Joined March 2013
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@gamaleldinfe
Gamaleldin Elsayed
29 days
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@gamaleldinfe
Gamaleldin Elsayed
2 months
@RubenEVillegas Congratulations Ruben and the team. Looks great :)
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@gamaleldinfe
Gamaleldin Elsayed
2 months
@JeffDean Congratulations @JeffDean and the team.
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@gamaleldinfe
Gamaleldin Elsayed
2 months
@bneyshabur @AnthropicAI Congratulations. Best of luck @bneyshabur
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@gamaleldinfe
Gamaleldin Elsayed
3 months
RT @goodfellow_ian: Posting a call for help: does anyone know of a good way to simultaneously treat both POTS and Ménière’s disease? Please…
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@gamaleldinfe
Gamaleldin Elsayed
4 months
@demishassabis @NobelPrize Congratulations!
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@gamaleldinfe
Gamaleldin Elsayed
4 months
@peterjliu Best of luck Peter. I know you will create something great
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@gamaleldinfe
Gamaleldin Elsayed
4 months
One more nobel prize for AI. What a great team! I am really proud I have been part of Google Brain and Google DeepMind. Congratulations @demishassabis and John.
@NobelPrize
The Nobel Prize
4 months
BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Chemistry with one half to David Baker “for computational protein design” and the other half jointly to Demis Hassabis and John M. Jumper “for protein structure prediction.”
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@gamaleldinfe
Gamaleldin Elsayed
4 months
Congratulations @geoffreyhinton . Very well deserved.
@NobelPrize
The Nobel Prize
4 months
BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Physics to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks.”
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@gamaleldinfe
Gamaleldin Elsayed
4 months
@KameronDHarris @Locchiu Yes, I think many lessons apply beyond language.
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@gamaleldinfe
Gamaleldin Elsayed
5 months
@LiamFedus @OpenAI Congratulations Liam and the team.
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@gamaleldinfe
Gamaleldin Elsayed
7 months
@karpathy Congratulations. This is awesome
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@gamaleldinfe
Gamaleldin Elsayed
8 months
Happy to announce that NanoDO is now open-sourced. NanoDO is highly readable and easily adaptable implementation of a Transformer decoder-only language model in Jax.
@peterjliu
Peter J. Liu
8 months
We recently open-sourced a relatively minimal implementation example of Transformer language model training in JAX, called NanoDO. If you stick to vanilla JAX components, the code is relatively straightforward to read -- the model file is <150 lines. We found it useful as a fork-able example for researchers to easily hack on and experiment rapidly. While we do not provide SOTA configs, we hope it can help researchers get started to try ideas, especially if new to LMs and JAX -- which is truly under-rated. Repo:
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@gamaleldinfe
Gamaleldin Elsayed
8 months
RT @Locchiu: nanoChinchilla. Reproducing Chinchilla-Optimal Scaling Phenomenon: Colab, 1 Hour, 100 Lines, + Beautiful Theory https://t.co…
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@gamaleldinfe
Gamaleldin Elsayed
11 months
RT @OriolVinyalsML: We are rolling out Gemini 1.5 Pro API so that you can keep building amazing stuff on top of the model like we've seen i…
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@gamaleldinfe
Gamaleldin Elsayed
11 months
RT @GoogleDeepMind: Introducing SIMA: the first generalist AI agent to follow natural-language instructions in a broad range of 3D virtual…
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@gamaleldinfe
Gamaleldin Elsayed
1 year
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@gamaleldinfe
Gamaleldin Elsayed
1 year
@arimorcos @datologyai Congratulations Ari.
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