import{s as W,n as X,o as Y}from"../chunks/scheduler.e0212c12.js";import{S as Z,i as tt,e as s,s as i,c as C,h as et,a as m,d as a,b as o,f as N,g as v,j as x,k as Q,l as at,m as n,n as w,t as L,o as A,p as P}from"../chunks/index.a585a37c.js";import{C as nt,H as V,E as it}from"../chunks/MermaidChart.svelte_svelte_type_style_lang.3d07a257.js";function ot(q){let l,T,b,M,f,E,r,H,p,F="오픈소스 AI Cookbook에는 오픈소스 도구와 모델을 활용해 AI 애플리케이션을 만들고 다양한 머신러닝 과제를 해결하는 노트북이 모여 있습니다.",y,_,G,u,O="최근 추가된 노트북을 살펴보세요:",R,h,B='<li><a href="fine_tuning_vit_custom_dataset_ko">Custom Biomedical Dataset으로 Vision Transformer 모델 Fine-tuning 하기</a></li> <li><a href="advanced_ko_rag">한국어 Advanced RAG 구현: Hugging Face와 LangChain 활용한 Cookbook</a></li> <li><a href="structured_generation">구조화된 생성으로 근거 강조 표시가 있는 RAG 시스템 구축하기</a></li> <li><a href="ko_rag_with_knowledge_graphs_neo4j">지식 그래프를 활용한 RAG 추론 향상</a></li> <li><a href="rag_zephyr_langchain">GitHub 이슈를 위한 EEVE와 LangChain을 사용한 간단한 RAG</a></li> <li><a href="multiagent_web_assistant">다중 에이전트 계층 구조에서 여러 에이전트가 협업하도록 하기</a></li> <li><a href="faiss_with_hf_datasets_and_clip">유사성 검색을 위한 멀티모달 데이터 임베딩</a></li> <li><a href="ko_fine_tuning_vlm_dpo_smolvlm_instruct">개인용 GPU에서 TRL로 SmolVLM DPO 파인튜닝하기</a></li> <li><a href="fine_tuning_detr_custom_dataset">커스텀 데이터셋으로 객체 탐지 모델 파인튜닝하기, Spaces에 배포하기, 그리고 Gradio API 연동하기</a></li> <li><a href="vector_search_with_hub_as_backend">허깅페이스 허브를 백엔드로 사용한 벡터 검색</a></li>',I,$,J='더 다양한 노트북을 확인하고 싶다면 Cookbook’s <a href="https://github.com/huggingface/cookbook" rel="nofollow">GitHub 리포지토리</a>에 방문해보세요.',S,c,j,g,K=`오픈소스 AI Cookbook은 커뮤니티의 노력으로 만들어지며, 여러분의 기여를 환영합니다!
Cookbook의 <a href="https://github.com/huggingface/cookbook/blob/main/README.md" rel="nofollow">기여 가이드</a>를 확인하고 여러분의 “레시피”를 추가하는 방법을 알아보세요.`,z,k,D,d,U;return f=new nt({props:{containerStyle:"float: right; margin-left: 10px; display: inline-flex; position: relative; z-index: 10;"}}),r=new V({props:{title:"오픈소스 AI Cookbook",local:"오픈소스-ai-cookbook",headingTag:"h1"}}),_=new V({props:{title:"최신 노트북",local:"최신-노트북",headingTag:"h2"}}),c=new V({props:{title:"기여하기",local:"기여하기",headingTag:"h2"}}),k=new it({props:{source:"https://github.com/huggingface/cookbook/blob/main/notebooks/ko/index.md"}}),{c(){l=s("meta"),T=i(),b=s("p"),M=i(),C(f.$$.fragment),E=i(),C(r.$$.fragment),H=i(),p=s("p"),p.textContent=F,y=i(),C(_.$$.fragment),G=i(),u=s("p"),u.textContent=O,R=i(),h=s("ul"),h.innerHTML=B,I=i(),$=s("p"),$.innerHTML=J,S=i(),C(c.$$.fragment),j=i(),g=s("p"),g.innerHTML=K,z=i(),C(k.$$.fragment),D=i(),d=s("p"),this.h()},l(t){const e=et("svelte-u9bgzb",document.head);l=m(e,"META",{name:!0,content:!0}),e.forEach(a),T=o(t),b=m(t,"P",{}),N(b).forEach(a),M=o(t),v(f.$$.fragment,t),E=o(t),v(r.$$.fragment,t),H=o(t),p=m(t,"P",{"data-svelte-h":!0}),x(p)!=="svelte-1eno4j2"&&(p.textContent=F),y=o(t),v(_.$$.fragment,t),G=o(t),u=m(t,"P",{"data-svelte-h":!0}),x(u)!=="svelte-f8l6p7"&&(u.textContent=O),R=o(t),h=m(t,"UL",{"data-svelte-h":!0}),x(h)!=="svelte-19weeah"&&(h.innerHTML=B),I=o(t),$=m(t,"P",{"data-svelte-h":!0}),x($)!=="svelte-1uycq3p"&&($.innerHTML=J),S=o(t),v(c.$$.fragment,t),j=o(t),g=m(t,"P",{"data-svelte-h":!0}),x(g)!=="svelte-1umxo85"&&(g.innerHTML=K),z=o(t),v(k.$$.fragment,t),D=o(t),d=m(t,"P",{}),N(d).forEach(a),this.h()},h(){Q(l,"name","hf:doc:metadata"),Q(l,"content",lt)},m(t,e){at(document.head,l),n(t,T,e),n(t,b,e),n(t,M,e),w(f,t,e),n(t,E,e),w(r,t,e),n(t,H,e),n(t,p,e),n(t,y,e),w(_,t,e),n(t,G,e),n(t,u,e),n(t,R,e),n(t,h,e),n(t,I,e),n(t,$,e),n(t,S,e),w(c,t,e),n(t,j,e),n(t,g,e),n(t,z,e),w(k,t,e),n(t,D,e),n(t,d,e),U=!0},p:X,i(t){U||(L(f.$$.fragment,t),L(r.$$.fragment,t),L(_.$$.fragment,t),L(c.$$.fragment,t),L(k.$$.fragment,t),U=!0)},o(t){A(f.$$.fragment,t),A(r.$$.fragment,t),A(_.$$.fragment,t),A(c.$$.fragment,t),A(k.$$.fragment,t),U=!1},d(t){t&&(a(T),a(b),a(M),a(E),a(H),a(p),a(y),a(G),a(u),a(R),a(h),a(I),a($),a(S),a(j),a(g),a(z),a(D),a(d)),a(l),P(f,t),P(r,t),P(_,t),P(c,t),P(k,t)}}}const lt='{"title":"오픈소스 AI Cookbook","local":"오픈소스-ai-cookbook","sections":[{"title":"최신 노트북","local":"최신-노트북","sections":[],"depth":2},{"title":"기여하기","local":"기여하기","sections":[],"depth":2}],"depth":1}';function st(q){return Y(()=>{new URLSearchParams(window.location.search).get("fw")}),[]}class pt extends Z{constructor(l){super(),tt(this,l,st,ot,W,{})}}export{pt as component};
