r/mlscaling • u/Mobile-Cellist-1215 • 17h ago

ZERO WEIGHT LANGUAGE MODEL (MSE-GLM)

0 Upvotes

r/mlscaling • u/graiden112 • 12h ago

Data [For Hire] 6 months into the Boston job hunt and still alive! 🚀 AI/ML & Data Pipeline Engineer looking for a PAID intern/entry role (even if it just covers my iced coffee budget ☕)

0 Upvotes

r/mlscaling • u/gwern • 11h ago

N, Hardware, T, A USG states that Moonshot used large-scale rapid Fable distillation for Kimi K3, and has both acquired & accessed export-controlled GB300 Nvidia GPUs

21 Upvotes

r/mlscaling • u/Abject_Response2855 • 15h ago

R VibeMathed - tracking math problems solved by AI models

6 Upvotes

Subreddit

Posts

Wiki

Scaling Machine Learning: Big Models/Data/Compute—More Is More

r/mlscaling

ML/AI/DL research on approaches using large models, datasets, and compute: "more is different"

Members Active

19.3k

0

Sidebar

Subreddit for discussing AI, machine learning, or deep learning approaches involving big numbers: billions of parameters, millions of n, petaflops, etc. eg GPT-3. Most research is conducted at much smaller scale; this subreddit is for research analogous to 'high energy physics', requiring specialized approaches, large investments, consortium, etc.

Topics: How? Who? Why do they work? What are they good for? What resources are available? Who will pay & how? What is the future of such approaches? What global consequences will there be?

Other subreddits: