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Volodymyr Kuleshov πŸ‡ΊπŸ‡¦
2,714 posts
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Volodymyr Kuleshov πŸ‡ΊπŸ‡¦
@volokuleshov
Co-Founder & Chief Scientist @_inception_ai | Prof @Cornell & @Cornell_Tech | PhD @Stanford
New York, NY
cs.cornell.edu/~kuleshov/
Joined July 2013
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  • Pinned
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    Volodymyr Kuleshov πŸ‡ΊπŸ‡¦
    @volokuleshov
    Feb 26, 2025
    Excited to announce the first commercial-scale diffusion language model---Mercury Coder. Mercury runs at 1000 tokens/sec on Nvidia hardware while matching the performance of existing speed-optimized LLMs. Mercury introduces a new approach to language generation inspired by image
    user avatar
    Inception
    @_inception_ai
    Feb 26, 2025
    We are excited to introduce Mercury, the first commercial-grade diffusion large language model (dLLM)! dLLMs push the frontier of intelligence and speed with parallel, coarse-to-fine text generation.
    00:00
    52K
  • user avatar
    Volodymyr Kuleshov πŸ‡ΊπŸ‡¦
    @volokuleshov
    Dec 1, 2022
    This wild. Take MNIST, feed it pixel by pixel to an LLM, followed by the label (β€œx1=5, x2=9, …, y=3”). Fine tune on this dataset. This reaches 99% accuracy. Also works on other small datasets.
  • user avatar
    Volodymyr Kuleshov πŸ‡ΊπŸ‡¦
    @volokuleshov
    Jan 24, 2021
    Did you ever want to learn more about machine learning in 2021? I'm excited to share the lecture videos and materials from my Applied Machine Learning course at @Cornell_Tech! We have 20+ lectures on ML algorithms and how to use them in practice. [1/5] youtu.be/vcE9WGbi4QY
    00:00
  • user avatar
    Volodymyr Kuleshov πŸ‡ΊπŸ‡¦
    @volokuleshov
    Dec 26, 2023
    It's crazy how many modern generative models are 15-year old Aapo Hyvarinen papers. Noise contrastive estimation => GANs Score matching => diffusion Ratio matching => discrete diffusion If I were a student today, I'd carefully read Aapo's papers, they’re a gold mine of ideas.
    140K
  • user avatar
    Volodymyr Kuleshov πŸ‡ΊπŸ‡¦
    @volokuleshov
    May 11, 2023
    Do you know what's cooler than running LLMs on consumer GPUs? Finetuning large 65B+ LLMs on consumer GPUs! πŸ€– Check out my new side project: LLMTune. It can finetune 30B/65B LLAMA models on 24Gb/48Gb GPUs. github.com/kuleshov-group…
    323K
  • user avatar
    Volodymyr Kuleshov πŸ‡ΊπŸ‡¦
    @volokuleshov
    Dec 7, 2018
    Compressing MNIST into 10 synthetic images that give almost the same performance as the full dataset. Cool paper!
  • user avatar
    Volodymyr Kuleshov πŸ‡ΊπŸ‡¦
    @volokuleshov
    Apr 30, 2022
    Ok, I'm sorry, but this is just brilliant. Folks argue that AI can't make art, but look: (1) DALLE2 distills the essence of NY in a stunning & abstract way (2) each pic has unique visual language (bridge-loops in #1!?) (3) it *builds* (not copies) something new on top of Picasso!
    user avatar
    hardmaru
    @hardmaru
    Apr 30, 2022
    Picasso minimal line art of New York City #dalle
  • user avatar
    Volodymyr Kuleshov πŸ‡ΊπŸ‡¦
    @volokuleshov
    Nov 8, 2023
    Excited to announce the newest update to the Cornell Open Applied ML course! We are releasing 16 chapters of open online lecture notes covering topics across ML: neural networks, SVMs, gradient boosting, generative models, and much more. kuleshov-group.github.io/aml-book/intro…
    80K
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    Volodymyr Kuleshov πŸ‡ΊπŸ‡¦
    @volokuleshov
    Apr 23, 2017
    We are publishing online the notes for the Probabilistic Graphical Models course at Stanford (work in progress!) ermongroup.github.io/cs228-notes/
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    Volodymyr Kuleshov πŸ‡ΊπŸ‡¦
    @volokuleshov
    Nov 30, 2022
    The award for the most clearly understandable poster goes to… this person!
  • user avatar
    Volodymyr Kuleshov πŸ‡ΊπŸ‡¦
    @volokuleshov
    Feb 26, 2025
    Mamba? DeltaNet? RWKV? RetNet? Here is a nice chart in which they’re all variants of the same formula.
    32K
  • user avatar
    Volodymyr Kuleshov πŸ‡ΊπŸ‡¦
    @volokuleshov
    Jan 30, 2023
    Here is an experiment: using ChatGPT to emulate a Jupyter notebook. You can even get it to run GPT inside ChatGPT. And you can also train neural networks from scratch inside ChatGPT.🀯 Here's walkthrough of how it works.
    70K
  • user avatar
    Volodymyr Kuleshov πŸ‡ΊπŸ‡¦
    @volokuleshov
    Feb 24, 2024
    ICLR decisions are now public, and it's confirmed that the recent (pretty high-profile) Mamba paper didn't get in. It's useful to read OpenReview to see how subjective the peer review process can be. The moral is: don't stress if your paper doesn't get in from the first try!
    60K
  • user avatar
    Volodymyr Kuleshov πŸ‡ΊπŸ‡¦
    @volokuleshov
    Aug 5, 2018
    Christopher Bishop is publishing a new textbook! mbmlbook.com