Many students are confused when applying to grad school. Who to ask for letters, writing SoP, etc. Some resources on SoP: https://
let-all.com/assets/slides/
How-to-COLT-Boaz.pdf
… (
@boazbaraktcs
) and https://
let-all.com/assets/slides/
How-to-COLT-Yisong.pdf
… (
@yisongyue
), from a @let4all workshop Getting letters:
RESEARCH
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Graduate School Application Guide: SOP and Recommendation Letters
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Emergent Capabilities in Large-Scale Language Models Explained
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As language models increase in scale they sometimes exhibit various useful emergent capabilities. In today’s post, we explore this phenomenon to better understand its dependence on model properties and its potential impact in applications. Read more at https://
goo.gle/3hvJMAb -
Hadamard Transform Essential for Dimension Changes and Degeneracy
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The dimension changes need Hadamard transform and without it you have bad degeneracy. We discuss this in detail
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Larger AI Models Show Increased Bias Demonstration
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It looks like the bigger the model, the harder it gets for it not to demonstrate biases. Very cool stuff from @mathemakitten
! https://
huggingface.co/blog/zero-shot
-eval-on-the-hub
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What Computer Scientists Should Know Before MIT
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What computer scientists wish they knew before coming to MIT: http://
bit.ly/3G4NdYN -
Argonne Nominated for Gordon Bell Special Prize HPC COVID Research
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@Argonne was nominated for the 2022 Gordon Bell Special Prize for HPC Based COVID-19 Research, based on their work on CS-2! Join us for this event at #SC22! Read more about our research here: https://
hubs.li/Q01rJhNW0 -
Building AI Products Panel at Mila Quebec Research Center
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Our very own @ellieevsss on a panel discussing 'Building AI Products' at @Mila_Quebec
, the world's largest academic research center in deep learning. -
Diffusion Models for Audio: Denoising as Subtractive Synthesis
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Always thought diffusion was best suited for audio. Denoising = subtractive synthesis.
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Deterministic Initialization for Any Network Architecture
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Thank you for tweeting our paper. This is the actual TLDR: We design the first deterministic initialization that works with any network architecture. This includes identity initialization when weight matrix is square and Hadamard initialization when weight matrix is rectangular.
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The Stack Dataset Trending on Hugging Face Hub
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The Stack from @BigCodeProject is the #1 trending dataset on @huggingface today. Anyone started training some fun stuff on it yet? https://
huggingface.co/datasets/bigco
de/the-stack
…