| import{_ as e}from"./index-D8Tp3Qg8.js";import{U as a,W as t,Y as i,F as n,_ as s,V as o,a3 as r,k as c,a0 as l,Z as d,G as g}from"./vue-vendor-BhBNFBI8.js";import"./antd-vendor-BaRhxx_v.js";const p={class:"section feature-cards-section"},u={class:"cards-container"},m={class:"card-content"},h={class:"unified-card-title unified-card-text"},f=["innerHTML"];const b=e({name:"FeatureCardsSection",data:()=>({features:[{title:"Data Group",description:"\n Our goal is to create a multilingual pretraining dataset exceeding 10 trillion tokens, enhanced by data synthesis techniques like chain-of-thought generation and instruction tuning to improve quality and efficiency.\n ",link:"https://huggingface.co/collections/BAAI/cci40-68199d90bbc798680df16d7c",gradientPos:"80% 20%",gradientColor:"rgba(78, 171, 248, 0.3)",image:"https://images.pexels.com/photos/373543/pexels-photo-373543.jpeg?auto=compress&cs=tinysrgb&w=1260&h=750&dpr=2"},{title:"Algorithm Group",description:"\n Our goal is to optimize large-scale language model training by focusing on four key areas: data mixing, hyperparameter tuning, reinforcement learning (RL), and enhancing reasoning capabilities, while expanding multimodal abilities, such as vision, language, and motion. \n ",link:"https://github.com/FlagAI-Open/OpenSeek",gradientPos:"20% 80%",gradientColor:"rgba(255, 59, 143, 0.3)",image:"https://images.unsplash.com/photo-1555066931-4365d14bab8c?auto=format&fit=crop&w=1260&h=750"},{title:"System Group",description:"\n The goal is to collaborate with the open-source community to replicate DeepSeek V3 & R1's distributed training system, ensuring stable and high-performance end-to-end training.\n ",link:"https://github.com/FlagOpen/FlagScale",gradientPos:"50% 50%",gradientColor:"rgba(120, 198, 255, 0.3)",image:"https://images.pexels.com/photos/8386440/pexels-photo-8386440.jpeg?auto=compress&cs=tinysrgb&w=1260&h=750&dpr=2"}]})},[["render",function(e,b,y,k,x,v){const _=o("a-button");return t(),a("section",p,[b[1]||(b[1]=i("h2",{class:"section-title"},"Working Groups",-1)),i("div",u,[(t(!0),a(n,null,s(x.features,((e,n)=>(t(),a("div",{key:n,class:"feature-card card gradient-border unified-card",style:{}},[i("div",{class:"card-image",style:r({backgroundImage:`url(${e.image})`})},null,4),i("div",m,[i("h2",h,l(e.title),1),i("p",{class:"unified-card-text",innerHTML:e.description},null,8,f),c(_,{type:"link",class:"learn-more",target:"_blank",href:e.link},{default:d((()=>b[0]||(b[0]=[g(" Learn More → ")]))),_:2,__:[0]},1032,["href"])])])))),128))])])}],["__scopeId","data-v-40f151db"]]);export{b as default}; | |