Andrew Fitzgibbon
1.5K posts

Andrew Fitzgibbon
@Awfidius
Technical Fellow, Graphcore. Love beautiful code, and beautiful hardware to run it on.
Cambridge Bergabung Temmuz 2009
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🚨 Graphcore is hiring AI Research Interns! 🚨
Join us to work at the intersection of hardware and AI and help shape the future of AI systems. Whether you're excited about efficient inference, large-scale training, or advancing frontier-model capabilities, we’ve got cutting-edge projects for you to dive into.
Interested? Apply below 👇
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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-…
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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
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Andrew Fitzgibbon me-retweet
Andrew Fitzgibbon me-retweet

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
Simo Ryu@cloneofsimo
babe wake up, new muP paper dropped arxiv.org/abs/2407.17465 And holy smokes does this look promising!
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Excited to present our work at @icmlconf WANT workshop: ⚖️ Scalify: scale propagation for efficient low-precision LLM training 🎉
github.com/graphcore-rese…
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Andrew Fitzgibbon me-retweet

babe wake up, new muP paper dropped
arxiv.org/abs/2407.17465
And holy smokes does this look promising!

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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-…
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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-…
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@robin_kips @eccvconf Oops, will fix - this works in the meantime:
eccv2024.ecva.net/Conferences/20…
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Submitting to #ECCV2024? Check out the FAQ! Includes info about preprints, anonymity, and media promotion.
eccv2024.ecva.net/faqs.html
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So pleased to share that our OGB-LSC winning model GPS++ has just been published in TMLR.
Accepted papers at TMLR@TmlrPub
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
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I’m biased obvs, but having seen a preview of this talk, I can recommend it highly!
Mosè Giordano@MoseGiordano
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
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Andrew Fitzgibbon me-retweet

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
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@3scorciav @samsungresearch I would be delighted - let's dm.
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@Awfidius Would you be interested in giving a similar talk in town?
We resume our in-person invited talks at @samsungresearch AI Center Cambridge 🇬🇧
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