We are exploring a new domain in Scale ML this week! @jeremyWohlwend, will be presenting his exciting work on Boltz-1! Time: April 9th 4PM EST, sign up at https://t.co/EvbCJnwRBA to join our mailing list for the zoom link.

This week we will be having a @YifeiZhou02 present his exciting work on: Self-improvement of LLM agents through Reinforcement Learning At Scale ⚡️ Time: Mar 26 12PM EST, sign up at https://t.co/EvbCJnwRBA to join our mailing list for the zoom link.

We are excited to have Heyi Tang from @Kimi_Moonshot present: Design and Optimization of Large-Scale Inference Systems of https://t.co/xBHNhdOot2🚀 Time: Mar 12 7:15PM EST, sign up at https://t.co/EvbCJnxpr8 to join our mailing list for the zoom link.

We are excited to have @SonglinYang4 present: Linear Attention and Beyond 🚀🚀🚀 Time: Mar 5, 4pm EST, sign up at https://t.co/EvbCJnxpr8 to join our mailing list for the zoom link.

This week we will be having @Yikang_Shen present his exciting work on efficient training of LLMs! Date: Wednesday Feb 26, 4pm EST To attend the talk virtually, sign up via https://t.co/EvbCJnwRBA @MITIBMLab

This week we will be having @BoyuanChen0 present his exciting work on diffusion models! Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion Time: Feb 5, 3pm EST, sign up at https://t.co/EvbCJnxpr8 to join our mailing list for the zoom link.

We are back with @SimonXinDong from NVIDIA Research presenting Hymba, a state-of-the-art hybrid architecture that’s leading the way in the small language model revolution! Time: Jan 22, 4pm EST Sign up at https://t.co/EvbCJnxpr8 to join our mailing list for the zoom link

For our last seminar of the year we will end with Lucas Wilkinson from @neuralmagic presenting! Machete: a cutting-edge mixed-input GEMM GPU kernel targeting NVIDIA Hopper GPUs Time: Dec 4, 3pm EST Sign up via https://t.co/EvbCJnxpr8 to join our mailing list for the zoom link

Hello everyone, this week at 3pm EST Nov 20 (Wed) we will be having @Guangxuan_Xiao present his work about efficient/effective long sequence modeling! Sign up via https://t.co/EvbCJnxpr8 to join our mailing list and zoom access.

This week we have Yuka Ikarashi (@c20) present: Exocompilation for Specialized Hardware! Date/Time: Nov 13 3pm Sign up via https://t.co/EvbCJnxpr8 to join our mailing list for the zoom link

Excited to host @thecharlieblake and Constantin tomorrow to talk about their work u-μP! Sign up via https://t.co/EvbCJnxpr8 to join remotely via Zoom!

Tomorrow, we will have Moshik Hershcovitch present: ZipNN - A Lossless Compression Library tailored for AI models. Join via zoom by signing up on our website!

After a mini break, we are back! Tomorrow we will have @EranMalach from Harvard giving a talk titled: Computational Benefits and Limitations of Transformers and State-Space Models For those interested in listening virtually, signup on our website!

Today we welcome @vyasnikhil96 to speak about his work on understanding the Shampoo Optimizer at 3pm! Sign up via our website https://t.co/EvbCJnxpr8 to join via zoom! Paper: https://t.co/6GzLKLJWtu

@ethanepperly @typedfemale @lukas_balles @_arohan_ Yesterday in @scaleml we implemented autograd, so today I'm implementing modular normalization. I'll try to code up the Newton-Schulz iteration for Linear.normalize if there's time. Remember you can sign up for the zoom on https://t.co/KKJHDRYKOD if you have an academic email

Excited to continue building Modula in NumPy with @jxbz ! Hope you can join us in-person or through zoom

For those interested, sign up through our website mailing list to attend talks via zoom and receive future announcements. Currently its open to those with an .edu account.

Hello World, We are a cross-lab MIT student led collective focusing on Algorithms That Learn and Scale. We host biweekly talks. For this week, we have our very own @jxbz presenting his recent work Modula --- "a deep learning framework designed for graceful scaling."