惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

D
DataBreaches.Net
MongoDB | Blog
MongoDB | Blog
GbyAI
GbyAI
L
LangChain Blog
B
Blog
博客园 - 三生石上(FineUI控件)
Martin Fowler
Martin Fowler
博客园 - 【当耐特】
Recent Announcements
Recent Announcements
P
Proofpoint News Feed
U
Unit 42
Last Week in AI
Last Week in AI
WordPress大学
WordPress大学
有赞技术团队
有赞技术团队
雷峰网
雷峰网
Microsoft Security Blog
Microsoft Security Blog
T
The Blog of Author Tim Ferriss
爱范儿
爱范儿
小众软件
小众软件
I
InfoQ
G
Google Developers Blog
大猫的无限游戏
大猫的无限游戏
人人都是产品经理
人人都是产品经理
C
Check Point Blog

WASP

WASP strengthens Swedish AI research through recruitment of Julian Togelius | WASP WASP students strengthen ties with Mila’s reinforcement learning community | WASP Community building summer school gives new WASP PhD students a first introduction | WASP WASP researchers contribute to ECCV 2026 | WASP WASP research helps Sony AI’s table tennis robot decide in milliseconds | WASP WASP researchers receives the Automatica Best Paper Award | WASP The long game: When someone is paid to think ahead  | WASP Alexandre Bartel receives Nordea's Scientific Prize 2026 | WASP Strong WASP presence at ICML 2026 | WASP WARA Public Safety introduces Vinnova Drone Challenge at Data Collection Week ELLIS adds seven new units – one of them in Sweden WASP-affiliated research accepted to CVPR 2026 WASP researchers receive Best Paper Award for advancing safety in AI-based autonomy The data only industry can provide Jialong Li receives award for his work on open source teleoperation Exploring the intersection of society, life sciences and technology Updates in the WARA Ops portal WASF 2026 explores the foundations of neurosymbolic AI Where are WASP alumni today? Statistics from a recent WASP follow‑up Miriah Meyer: “I’m a fangirl of theory” Martin Monperrus Elevated to IEEE Fellow for Advances in AI-Driven Software Engineering Alexandre Proutiere receives ACM SIGMETRICS Achievement Award
Learn more about SE.LLMA
Natalie Pintar · 2026-06-02 · via WASP
Illustration för SE.LLMA som ska ta fram svenska språkmodeller med hänsyn till upphovsrätt.
Photo by Google DeepMind on Unsplash

Large language models (LLMs) and the digital tools built upon them are becoming part of tomorrow’s societal infrastructure. They will form the underlying software upon which an increasing number of digital services, decision-making systems, and knowledge environments rely. A new project, SE.LLMA, addresses this important infrastructure project by training Swedish language models.

For those who would like to learn more about the SE.LLMA project, an information page is now available with more details.

The page will be updated continuously as more information about the project becomes available.