Satwik Panigrahi

@satwik

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I just took Data 140 with Prof Adhikari this past semester and wanted to share a few tips for future students! I personally found Data 140 to be both rigorous and rewarding, but I think my experience could have been a lot smoother if I had known a few things before the class started. For some background, I took CS 70 a year ago but I felt that I... See more

SilverDoctor9443 reddit.com

advice for 140

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This is a playlist of 9 AI & ML youtube videos you can’t miss as an AI engineer, It’s 50+ hours of technical hands-on courses: 1. Neural Networks Zero to Hero (Karpathy) https://t.co/ffdq7buycG From micro-gradients to nanoGPT, code-first all the... See more

ℏεsam

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Organize Your Files Automatically - With AI

makeitsparkle.co

Apps to try

40+ page technical beginner intro to diffusion model from MILA🤌! An accessible first course on diffusion models and flow matching for machine learning, aimed at a technical audience with no diffusion experience. https://t.co/UjZzqPI5PE

Zain

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My friend Chenyang (twitterless) has written a nice tutorial on diffusion models, from the "projection onto manifold" perspective. My favorite part is the *extremely simple* pedagogical codebase, which I've been using myself for quick experiments. See: https://t.co/iLCXOu2qhj https://t.co/9YSAaT3F3l

Preetum Nakkiran

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Diffusion Models goldmine for anyone wanted to get in, since I saw multiple people interested. These build math, coding, and intuition well. Let the math not scare you, its cool shit: https://t.co/XqVkFnkyVy https://t.co/G3m0AHoL3L https://t.co/mjU1ePXC44 https://t.co/3Nx4JwpBeQ

Lazarz x.com

I made a searchable directory for @karpathy's YouTube tutorials, with quizzes for each video. Links below:

Arno Khachatourian x.com

Where can I start if I want to read more on diffusion models for LLMs?

Ravid Shwartz Ziv x.com

Things to come back to when I’m feeling meh