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The surest sign that you understand a system is your ability to modify it and improve it.
Mercenaries work for money. Missionaries build for others. Artists create for themselves.
When two feature branches you've been working on for months finally get merged....
Research Engineers are the people training and tuning state-of-the-art models like GPT-3, DALL-E, Imagen, Alphafold, etc I spent 100s of hours coaching and mentoring junior and mid-career REs. Here’s how you become an RE at a top-tier institution (Google, Meta, OpenAI,…) 🧵
!!!! Ok I recorded a (new!) 2h25m lecture on "The spelled-out intro to neural networks and backpropagation: building micrograd" youtube.com/watch?v=VMj-3S… . This is the culmination of about 8 years of obsessing about the best way to explain neural nets and backprop.
The show is finally published! We cover so much ground, and this is a very technical and long show. Use the table of contents on YouTube to navigate about. I am also v. interested in Petar's "Neural Algorithmic Reasoning" work too by the way arxiv.org/abs/2105.02761
Epic special edition MLST on geometric deep learning! Been in the works since May! with @mmbronstein @PetarV_93 @TacoCohen @joanbruna @ykilcher @ecsquendor youtu.be/bIZB1hIJ4u8
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