Rough Researcher @SapkotaTsuman
Rough AI blogger. I bring ideas to reality by coding. Neural Networks. Currently on Interpretability, Sparsity, (GPU ?) tsumansapkota.github.io Nepal Joined March 2018-
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A lot of people's hard work has gone into building the AYA project! Here's a thread featuring some of the Language Ambassadors from Asia along with beautiful quotes from the diverse languages they're representing as part of AYA!❣️ 🧵👇 (1/15)
A lot of people's hard work has gone into building the AYA project! Here's a thread featuring some of the Language Ambassadors from Asia along with beautiful quotes from the diverse languages they're representing as part of AYA!❣️ 🧵👇 (1/15)
This is your daily reminder to contribute to the AYA project which also aims to release both data and models. AYA is an important step towards better multilingual LLMs! Join us & help build the first open source, multilingual, instruction-style dataset covering 100+ languages🌎
This is your daily reminder to contribute to the AYA project which also aims to release both data and models. AYA is an important step towards better multilingual LLMs! Join us & help build the first open source, multilingual, instruction-style dataset covering 100+ languages🌎
AYA ASIA UPDATE Congrats to Chinese for rocketing over 5,000 contributions! 🚀 Yay for teams Nepali & Arabic on their jumps. Many languages continue to have >100 contributions. Pls share with the Korean, Japanese, Bengali etc. speakers in your network! sites.google.com/cohere.com/aya…
Introducing Voicebox, a new breakthrough generative speech system based on Flow Matching, a new method proposed by Meta AI. It can synthesize speech across six languages, perform noise removal, edit content, transfer audio style & more. More details on this work & examples ⬇️
We are presenting two papers at @miua2023 in Aberdeen in July.
Introducing Aya: An Open Science Initiative to Accelerate Multilingual AI Progress txt.cohere.com/aya-multilingu… 🧵 [1/11]
Join us for the first workshop in Data Engineering in Machine Learning (DEMI) at #MICCAI2023 ! Our focus is on active learning, learning from synthetic data, data augmentation, federated learning, and more, in medical imaging. It is fully virtual, so no visa or travel costs!
The softmax σ(z) for z =[z₁,...,zₙ]ᵀ is defined element-wise as: σ(zᵢ) = exp(λzᵢ) / Σⱼexp(λzⱼ) It is a "nice" function w/ very useful smoothness properties. Here are some: (1/4) Softmax is Lipschitz w/ constant λ. Its Hessian & 3rd order derivative are also Lipschitz
9 Distance Measures in data science with algorithms. via: @gp_pulipaka
In contrast to the conventional ML paradigm of pertaining on large datasets and then finetuning on target task, we flip the pipeline: Given a target dataset, Internet Explorer uses its live internet access to do back-n-forth iterations to improve its knowledge to do well. 2/
Hyperbolic Voronoi diagram (red) with dual Delaunay complex (blue) in the Poincaré upper space. Can be easily computes from Klein Voronoi diagram using power diagrams. "Hyperbolic Voronoi diagrams made easy", IEEE ICCSA 2010 👉 arxiv.org/abs/0903.3287 Web: www2.sonycsl.co.jp/person/nielsen…
Today we're releasing the Segment Anything Model (SAM) — a step toward the first foundation model for image segmentation. SAM is capable of one-click segmentation of any object from any photo or video + zero-shot transfer to other segmentation tasks ➡️ bit.ly/433YuBI
Loyds algorithm defines a segmentation of the domain using Voronoi cells. The associated dual graph is a Delaunay triangulation. en.wikipedia.org/wiki/Lloyd%27s…
1/Math for Machine Learning and Data Science is now available on Coursera! Taught by @luis_likes_math, this gives an intuitive understanding of the most important math concepts for AI. coursera.org/specialization…
Metaballs is defined as the level set of a sum of radial functions. en.wikipedia.org/wiki/Metaballs
This is the video recording of Day 1 of the 3rd SlowDNN workshop. It is a full day tutorial consisting of 7 related lectures on learning low-dimensional structures and deep networks: youtube.com/watch?v=0hHxpN…
We are presenting a poster presentation on "Dimension Mixture Model" at the Third Workshop on Seeking Low-Dimensionality in Deep Neural Networks, on 5th January in Abu Dhabi. Wanna know more? Come say hi to @SapkotaTsuman slowdnn-workshop.github.io @ABDNCompSci @naamii_nepal
With LLMs for science out there (#Galactica) we need new ethics rules for scientific publication. Existing rules regarding plagiarism, fraud, and authorship need to be rethought for LLMs to safeguard public trust in science. Long thread about trust, peer review, & LLMs. (1/23)
This tool is to paper writing as driving assistance is to driving. It won't write papers automatically for you, but it will greatly reduce your cognitive load while you write them.
This tool is to paper writing as driving assistance is to driving. It won't write papers automatically for you, but it will greatly reduce your cognitive load while you write them.
Michael Bronstein @mmbronstein
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33K Followers 270 Following I built a C library that lets you compile 12kb static binaries that run natively on Linux, Mac, Windows, FreeBSD, OpenBSD, NetBSD and BIOS using just GCC/Clang.Daniel Johnson @_ddjohnson
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2K Followers 231 Following Bavarian AI Chair for Mathematical Foundations of AI @LMU_Muenchen; Adjunct Professor for ML @UiTromsonot true, especially for language. if you trained a large & deep MLP language model with no self-attention, no matter how much data you'll feed it you'll still be lacking behind a transformer (with much less data). will it get to the same point? i don't think so. your tokens…
The dataset is everything. Great read: nonint.com/2023/06/10/the…
@pdrmnvd def myfunction(): the entire notebook code return preds
being young, technical and ambitious is such a gift. if this is you, being around the right people is critical or else your ambition is fleeting
@SapkotaTsuman I say the glass is overflowing!!!
Government is force. There is nothing that force can do that free people, working together, cannot do better.
When you let opportunities override your core identity, you end up with neither.
Core pytorch NNs (forward and backward) written in clean, readable Triton (from @bobmcdear) github.com/BobMcDear/atto…
This is unbelievably cool.
Excited to share Penzai, a JAX research toolkit from @GoogleDeepMind for building, editing, and visualizing neural networks! Penzai makes it easy to see model internals and lets you inject custom logic anywhere. Check it out on GitHub: github.com/google-deepmin…
The infinite gift 🎁 is an interesting object where the side of the nth box is 1/√n. As n→+∞, the gift has infinite surface area and length but finite volume!
a person who uses a name online (either their real name or a username) as opposed to posting anonymously
@tunguz Once you get heavily invested in the sunk cost fallacy it's hard to let go.
@tunguz F, I sacrificed too much to be beholden to sunk cost. Theres no turning back now.
Yesterday, I was asked about my favorite scientists. Without hesitation, they are Hilbert, Einstein, and Feynman. Why? They have one thing in common: they are all true masters in revealing simple and unifying patterns and principles in otherwise seemingly complex phenomena.