Andrew Fitzgibbon
@AwfidiusTechnical Fellow, Graphcore. Love beautiful code, and beautiful hardware to run it on.
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I'm moving from extremely rarely posting interesting content on twitter to doing the same on, wow I'm old, linkedin...
Our Papers of the Month for September is now live! We cover: - LLM self-correction via RL - Trillion-token FP8 training - SOAP (Shampoo + Adam) - Generative models for crystals All framed in terms of "proper conditioning" (🧵) graphcore-research.github.io/papers-of-the-…
Graphcore Research internships are now open 🎉 We're looking for PhD students for next summer We're interested in algorithms & tools for hardware-efficient ML, in areas like LLM training/inference, GNNs, knowledge graphs and frameworks Spread the word! graphcore.ai/jobs
Introducing `tandv` - a library for tracking and visualising the internal stats of your model. We hope this will help with low-precision, debugging and more. (link in 🧵)
Sure matplotlib is cool, but what if I want to load my loss curves into the 2006 hit Flash game LineRider?
Our u-µP paper hit arXiv this morning! I'm so proud of this one — and grateful for a wonderful team who put so much into it 🥰 We add lots of good things to µP. Better sweeping, transfer, simple FP8. Already @cloneofsimo has a great thread on it, which I highly recommend
babe wake up, new muP paper dropped arxiv.org/abs/2407.17465 And holy smokes does this look promising!
Excited to present our work at @icmlconf WANT workshop: ⚖️ Scalify: scale propagation for efficient low-precision LLM training 🎉 github.com/graphcore-rese…
babe wake up, new muP paper dropped arxiv.org/abs/2407.17465 And holy smokes does this look promising!
Our team's summaries & analysis of our favourite papers from the last month. We give our take on: Mamba-2, sparse-µP, contextual position encoding & matmul-free models 🧵 graphcore-research.github.io/papers-of-the-…
Our latest edition of *Papers of the Month* is now available 📚 These are summaries of our team's favourite papers from March, including a new low-rank training procedure GaLore, and the supposed "Era of 1-bit LLMs" (really 1.58 bits) Mini-version in 🧵 graphcore-research.github.io/papers-of-the-…
So pleased to share that our OGB-LSC winning model GPS++ has just been published in TMLR.
GPS++: Reviving the Art of Message Passing for Molecular Property Prediction Dominic Masters, Josef Dean, Kerstin Klaeser et al.. Action editor: Ole Winther. openreview.net/forum?id=moVEU… #molecular #pcqm4mv2 #graph
I love that I'm being offered these - I guess the ad targeting knows I'm going to have a sudden urge to take up jewellery making long before I do...
I’m biased obvs, but having seen a preview of this talk, I can recommend it highly!
I'll start with "Julia meets the Intelligence Processing Unit" (pretalx.com/juliacon2023/t…), about running #JuliaLang on the @graphcoreai IPU, spectacular example of how @llvmorg enables adopting new cool hardware in Julia, and how Julia opens up new doors in scientific computing
I'll start with "Julia meets the Intelligence Processing Unit" (pretalx.com/juliacon2023/t…), about running #JuliaLang on the @graphcoreai IPU, spectacular example of how @llvmorg enables adopting new cool hardware in Julia, and how Julia opens up new doors in scientific computing
Thank you! Really great to be here, and great conversations throughout the event!
amazing invited talk by @Awfidius from @graphcoreai on real-world hardware for #AI but also real-world #compilers and #autodiff at the #EDINBURGH first Workshop on Affordable ML
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