Matt McDonnell @mattmcd
Geek Code: GS/E d s: a+ C(++++) U W++ N+ w M PS+ PE Y+ X+ !tv b+++ DI+ D e++++ r++ y? matt-mcdonnell.com UK Joined June 2007-
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Matt McDonnell retweeted
*Alice's book got a (minor) upgrade!* Thanks to the dozens of people who gave feedback, now with 1000% less typos and errors, a novel set of Colab lab sessions, and a brand-new CC-BY-SA license. 🙃 sscardapane.it/alice-book/
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Matt McDonnell retweeted
I can't* fathom why the top picture, and not the bottom picture, is the standard diagram for an autoencoder. The whole idea of an autoencoder is that you complete a round trip and seek cycle consistency—why lay out the network linearly?
This reminds me of the test for engineer vs non-engineer: get them to pronounce "coax" (currently rereading 'What is applied category theory?' 1809.05923 , linked tweet is footnote 8)
This reminds me of the test for engineer vs non-engineer: get them to pronounce "coax" (currently rereading 'What is applied category theory?' 1809.05923 , linked tweet is footnote 8)
Matt McDonnell retweeted
A true story
Matt McDonnell retweeted
In era of pretraining, what mattered was internet text. You'd primarily want a large, diverse, high quality collection of internet documents to learn from. In era of supervised finetuning, it was conversations. Contract workers are hired to create answers for questions, a bit…
In era of pretraining, what mattered was internet text. You'd primarily want a large, diverse, high quality collection of internet documents to learn from. In era of supervised finetuning, it was conversations. Contract workers are hired to create answers for questions, a bit…
Matt McDonnell retweeted
cursed captcha: level 11 put your webcam back in order
cursed captcha: level 11 put your webcam back in order https://t.co/ThoZtxFn4C
Matt McDonnell retweeted
if you're taking/teaching applied dynamical systems this term & want to peek at a book-in-progress, i've updated the draft on my website... see below
Matt McDonnell retweeted
Are we really running out of data??? No. We're just not using it correctly. The solution: let the model learn which data it needs to learn!!! 1/n
Matt McDonnell retweeted
Today we're putting out an update to the JAX TPU book, this time on GPUs. How do GPUs work, especially compared to TPUs? How are they networked? And how does this affect LLM training? 1/n
Matt McDonnell retweeted
Introducing Gloria: Stan-Powered Time-Series Analysis Beyond Prophet discourse.mc-stan.org/t/introducing-…
Matt McDonnell retweeted
Introducing Bases, a new core plugin that lets you turn any set of notes into a powerful database. Now available to everyone with Obsidian 1.9!
Matt McDonnell retweeted
This is a nuclide chart. Number of Protons on Y axis Number of Neutrons on X axis The chart shows every known element and every known isotope. The proton number determines the element, the neutron number determines the isotope. The colour illustrates the half life of each…
Matt McDonnell retweeted
🎉 Lean 4.22.0 is here! This marks the culmination of our Year 2 roadmap. Two major highlights: 🧠 grind tactic: New SMT-style automated reasoning with theory-specific solvers and Gröbner basis support 🏗️ New compiler: Closes long-standing issues and sets the foundation for…
Matt McDonnell retweeted
if you're looking for an iconic linear-algebra-with-applications-to-AI textbook...
Matt McDonnell retweeted
Just ran across an old post from a former intern about Jane Street's approach to programming and code review. I thought it was a pretty accurate, and I think captures something important about how OCaml's design makes code review easier and more effective.
Idea for possible regularisation: per-frame: image segmentation to get subject, then depth estimation Then point cloud extraction over frame sequence via arxiv.org/abs/2310.07630 and use loss function based on reference point cloud
Idea for possible regularisation: per-frame: image segmentation to get subject, then depth estimation Then point cloud extraction over frame sequence via arxiv.org/abs/2310.07630 and use loss function based on reference point cloud
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