Andrew Fitzgibbon @Awfidius
Technical Fellow, Graphcore. Love beautiful code, and beautiful hardware to run it on. fitzgibbon.ie Cambridge Joined July 2009-
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Andrew Fitzgibbon retweeted
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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Andrew Fitzgibbon retweeted
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
Andrew Fitzgibbon retweeted
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 🧵)
Andrew Fitzgibbon retweeted
Sure matplotlib is cool, but what if I want to load my loss curves into the 2006 hit Flash game LineRider?
Andrew Fitzgibbon retweeted
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
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
Andrew Fitzgibbon retweeted
Excited to present our work at @icmlconf WANT workshop: ⚖️ Scalify: scale propagation for efficient low-precision LLM training 🎉 github.com/graphcore-rese…
Andrew Fitzgibbon retweeted
babe wake up, new muP paper dropped arxiv.org/abs/2407.17465 And holy smokes does this look promising!
Andrew Fitzgibbon retweeted
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-…
Andrew Fitzgibbon retweeted
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-…
Andrew Fitzgibbon retweeted
So pleased to share that our OGB-LSC winning model GPS++ has just been published in TMLR.
So pleased to share that our OGB-LSC winning model GPS++ has just been published in TMLR.
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’m biased obvs, but having seen a preview of this talk, I can recommend it highly!
Andrew Fitzgibbon retweeted
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!
Thank you! Really great to be here, and great conversations throughout the event!
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