# SOME DESCRIPTIVE TITLE.
# Copyright (C) 2023, Xorbits Inc.
# This file is distributed under the same license as the Xinference package.
# FIRST AUTHOR <EMAIL@ADDRESS>, 2023.
#
#, fuzzy
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msgstr ""
"Project-Id-Version: Xinference\n"
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"POT-Creation-Date: 2023-12-25 17:11+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
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#: ../../source/examples/index.rst:5
msgid "Examples"
msgstr "예시"

#: ../../source/examples/index.rst:17
msgid ""
"Here you can find examples and resources to learn about how to use "
"Xinference."
msgstr "여기에서 Xinference 사용 방법에 대한 예제와 학습 자료를 찾을 수 있습니다."

#: ../../source/examples/index.rst:20
msgid "Demos"
msgstr "예시"

#: ../../source/examples/index.rst:22
msgid "End-to-end applications of using Xinference:"
msgstr "Xinference를 사용한 엔드 투 엔드 애플리케이션:"

#: ../../source/examples/index.rst:24
msgid "`Voice Conversations with AI Agents on M2 Max <ai_podcast.html>`_"
msgstr "`M2 Max에서 AI 에이전트와 음성 대화하는 팟캐스트 <ai_podcast.html>`_"

#: ../../source/examples/index.rst:26
msgid "`Interacting with LLM Models: A Command-Line Example <chatbot.html>`_"
msgstr "`LLM 모델과 상호작용: CLI 예제 <chatbot.html>`_"

#: ../../source/examples/index.rst:28
msgid ""
"`Interacting with LLM Models: A Gradio ChatInterface Example "
"<gradio_chatinterface.html>`_"
msgstr "`LLM 모델과 상호작용: Gradio 채팅 페이지 예제 <chatbot.html>`_"

#: ../../source/examples/index.rst:30
msgid "`PDF Chatbot with Local LLM and Embeddings <pdf_chatbot.html>`_"
msgstr "`로컬 LLM 및 임베딩 모델을 사용한 PDF 챗봇 <pdf_chatbot.html>`_"

#: ../../source/examples/index.rst:32
msgid ""
"`Local Doc Conversations with LangChain and Streamlit "
"<langchain_streamlit_doc_chat.html>`_"
msgstr ""
"`LangChain 및 Streamlit을 사용한 로컬 문서 대화 <langchain_streamlit_doc_chat.html>`_"

#: ../../source/examples/index.rst:34
msgid ""
"If you come across other examples in your own workflows we encourage you to "
"contribute a `PR <https://github.com/xorbitsai/inference/pulls>`_!"
msgstr ""
"당신의 작업 흐름에서 다른 예제를 발견하면, `PR "
"<https://github.com/xorbitsai/inference/pulls>`_을 제출해 주시기 바랍니다!"

#: ../../source/examples/index.rst:38
msgid "Tutorials"
msgstr "튜토리얼"

#: ../../source/examples/index.rst:40
msgid ""
"The following tutorials cover the basics of using Xinference in different "
"scenarios:"
msgstr "다음 튜토리얼은 다양한 시나리오에서 Xinference를 사용하는 기본 지식을 다룹니다:"

#: ../../source/examples/index.rst:42
msgid ""
"`[Notebook] Question-answering(QA) Application with Xinference, Milvus and "
"LangChain "
"<https://github.com/RayJi01/Xprobe_inference/blob/main/examples/LangChain_QA.ipynb>`_"
msgstr ""
"[Notebook] Xinference, Milvus 및 LangChain을 사용한 질의응답(QA) 애플리케이션 "
"<https://github.com/RayJi01/Xprobe_inference/blob/main/examples/LangChain_QA.ipynb>_"

#: ../../source/examples/index.rst:44
msgid ""
"`Using Xinference local LLMs within LlamaIndex "
"<https://docs.llamaindex.ai/en/stable/examples/llm/xinference_local_deployment.html>`_"
msgstr ""
"`LlamaIndex에서 Xinference 로컬 LLMs 사용하기 "
"<https://docs.llamaindex.ai/en/stable/examples/llm/xinference_local_deployment.html>`_"

#: ../../source/examples/index.rst:46
msgid ""
"`[Chinese] 如何让 Chatbox 接入开源大模型，实现免费聊天 "
"<https://zhuanlan.zhihu.com/p/655765551>`_"
msgstr ""

#: ../../source/examples/index.rst:48
msgid ""
"`[Chinese] 摆脱 OpenAI 依赖，8 分钟教你用开源生态构建全栈 AI 应用 "
"<https://mp.weixin.qq.com/s/cXBC0dikldNiGwOwPuJfUQ>`_"
msgstr ""

#: ../../source/examples/index.rst:50
msgid ""
"`[Chinese] 使用全套开源工具构建 LLM 应用实战： 在 Dify 调用 Baichuan 开源模型能力 "
"<https://mp.weixin.qq.com/s/JWYWyJxS3ludMpMDZKw_Dw>`_"
msgstr ""

#: ../../source/examples/index.rst:54
msgid "Third-Party Library Integrations"
msgstr "써드파티 라이브러리 통합"

#: ../../source/examples/index.rst:56
msgid ""
"Xinference is designed to seamlessly integrate and deploy open-sourced AI "
"models, so we want to incorporate support for mainstream toolkits in the AI "
"landscape. Xinference can be used with the following third-party libraries:"
msgstr ""
"Xinference는 오픈소스 AI 모델을 원활하게 통합하고 배포할 수 있어 AI 분야의 주요 도구 키트를 지원합니다. "
"Xinference는 다음과 같은 타사 라이브러리와 함께 사용할 수 있습니다:"

#: ../../source/examples/index.rst:59
msgid ""
"LangChain `Text Embedding Models "
"<https://python.langchain.com/docs/integrations/text_embedding/xinference>`_"
" and `LLMs "
"<https://python.langchain.com/docs/integrations/llms/xinference>`_"
msgstr ""

#: ../../source/examples/index.rst:61
msgid ""
"`LlamaIndex Xinference LLM "
"<https://docs.llamaindex.ai/en/stable/api_reference/llms/xinference.html>`_"
msgstr ""
