Viewing profile — lambda-research

> What this article misses though is that despite this, each GPU in the distributed cluster still needs to have enough VRAM to load the entire copy of the model to complete the tra…

Unlike text generation using LLMs, text-to-video generation brings unique challenges — balancing realism, prompt alignment, and artistic vision is something much more nuanced and i…

Something that I always think about when I see discussions about hallucinations or "confidently wrong answers" is that humans have this issue too. For those on tiktok, how many tim…

Awesome thank you!

Companion is a free, open-source web app, featuring a Python REPL environment with an AI Tutor designed to support one’s learning and problem-solving in programming. I am leveragin…

I think the benefit is that SpinQuant had higher throughput and required less memory. At least according to the tables at the bottom of the article. Definitely nice to see them not…

Hey there are some details about this scattered throughout. The answer really depends on the technique. For DDP you can fairly easily get same throughput as single gpu throughput (…

The benchmark is matrix multiplcation with the shapes `(6, 1500, 256) X (6, 256, 1500)`, which just aren't that big in the AI world. I think the gap would be larger with much large…

Let me know if there are any questions or suggestions! Feel free to open issue on github, and contributions are welcome also

Been working on a guide for ML folks to upgrade their single GPU training code to multi GPU and multi node. Code diffs and explanations are included. The guide builds up to this fi…

The idea that time is tied to computation makes me wonder if everything we see as 'progress' is just the universe showing us the loading screen percentage of the game of life.