hypedarhypedar
feedtrendsdiscovershowcasearchive
login
login
login
FeedTrendsDiscoverShowcaseArchiveDashboard
Submit Showcase

Trending now

Inference + Agents + Llm67Math + Games56Security + Audit50
View all trends →

hypedar

AI trend radar for developers. Catch emerging papers, repos, and discussions before the hype peaks.

AboutGitHubDiscord

By the makers of hypedar

Codepawl

Open-source tools for developers.

Explore our tools →
AboutPrivacyTermsX

© 2026 Codepawl

Built by Codepawl·© 2026

About·Terms·Privacy·Security

GitHub·Discord·X

feedtrendsdiscovershowcasearchive
← feed
arXiv10h ago
4.3

Data Mixing for Large Language Models Pretraining: A Survey and Outlook

Zhuo Chen, Yuxuan Miao, Supryadi, Deyi Xiong

View original ↗

Analysis

Viral velocity
low
Implementation gapYES
Novelty5/10
Categorypaper
Topics
trainingllmdata-curation

Opportunity Brief

Create an automated dashboard for LLM pretraining data composition. Developers need a way to track and adjust domain-level sampling weights efficiently during the training process.

Suggested repo: mix-opt

"Don't just collect data, optimize your pretraining mix."

Estimated effort: 20h