# SOME DESCRIPTIVE TITLE.
# Copyright (C) 2023, Xorbits Inc.
# This file is distributed under the same license as the Xinference package.
# FIRST AUTHOR <EMAIL@ADDRESS>, 2024.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: Xinference\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2026-01-01 22:58+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: ko <LL@li.org>\n"
"Language: ko\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.18.0\n"

#: ../../source/models/model_abilities/chat.rst:5
msgid "Chat & Generate"
msgstr "채팅 & 생성"

#: ../../source/models/model_abilities/chat.rst:7
msgid "Learn how to chat with LLMs in Xinference."
msgstr "Xinference에서 LLM과 채팅하는 방법을 알아봅니다."

#: ../../source/models/model_abilities/chat.rst:10
msgid "Introduction"
msgstr "Introducción"

#: ../../source/models/model_abilities/chat.rst:12
msgid ""
"Models equipped with ``chat`` or ``generate`` abilities are frequently "
"referred to as large language models (LLM) or text generation models. These "
"models are designed to respond with text outputs to the inputs they receive,"
" commonly known as \"prompts\". Typically, one can direct these models using"
" specific instructions or by providing concrete examples illustrating how to"
" accomplish a task."
msgstr ""
"``chat`` 또는 ``generate`` 기능을 갖춘 모델은 일반적으로 대규모 언어 모델(LLM) 또는 텍스트 생성 모델이라고 "
"불립니다. 이러한 모델은 수신된 입력에 따라 텍스트 출력 방식으로 응답하도록 설계되었으며, 이 입력은 일반적으로 \"프롬프트\"라고 "
"합니다. 일반적으로 특정 지침을 제공하거나 구체적인 예시를 제시하여 이러한 모델이 작업을 수행하도록 유도할 수 있습니다."

#: ../../source/models/model_abilities/chat.rst:17
msgid ""
"Models with ``generate`` capacities are typically pre-trained large language"
" models. On the other hand, models equipped with ``chat`` capabilities are "
"finely-tuned and aligned LLMs, optimized for dialogues use case. In most "
"cases, models ending with \"chat\" (e.g. ``llama-2-chat``, ``qwen-chat``, "
"etc) are identified as having ``chat`` capabilities."
msgstr ""
"``generate`` 기능을 갖춘 모델은 일반적으로 사전 학습된 대규모 언어 모델입니다. 반면에 ``chat`` 기능이 탑재된 모델은 "
"대화 시나리오에 최적화되도록 미세 조정 및 정렬된 LLM(Language Model)입니다. 대부분의 경우, \"chat\"으로 끝나는 "
"모델(예: ``llama-2-chat``, ``qwen-chat`` 등)은 ``chat`` 기능을 가지고 있습니다."

#: ../../source/models/model_abilities/chat.rst:22
msgid ""
"The Chat API and Generate API offer two distinct approaches for interacting "
"with LLMs:"
msgstr "Chat API와 Generate API는 LLMs와 상호작용하는 두 가지 서로 다른 방법을 제공합니다:"

#: ../../source/models/model_abilities/chat.rst:24
msgid ""
"The Chat API (like OpenAI's `Chat Completion API "
"<https://platform.openai.com/docs/api-reference/chat/create>`__) can conduct"
" multi-turn conversations."
msgstr ""
"Chat API (OpenAI의 `Chat Completion API "
"<https://platform.openai.com/docs/api-reference/chat/create>`__와 유사)는 다중 턴 "
"대화를 수행할 수 있습니다."

#: ../../source/models/model_abilities/chat.rst:27
msgid ""
"The Generate API (like OpenAI's legacy `Completions API "
"<https://platform.openai.com/docs/api-reference/completions/create>`__) "
"allows you to generate text based on a text prompt."
msgstr ""
"Generate API는 OpenAI의 `Completions API "
"<https://platform.openai.com/docs/api-reference/completions/create>`__ 와 "
"유사하게 텍스트 프롬프트를 기반으로 텍스트를 생성할 수 있게 해줍니다."

#: ../../source/models/model_abilities/chat.rst:34
msgid "MODEL ABILITY"
msgstr "Model Capability"

#: ../../source/models/model_abilities/chat.rst:35
msgid "API ENDPOINT"
msgstr "API endpoint"

#: ../../source/models/model_abilities/chat.rst:36
msgid "OpenAI-compatible ENDPOINT"
msgstr "OpenAI 호환 엔드포인트"

#: ../../source/models/model_abilities/chat.rst:38
msgid "chat"
msgstr ""

#: ../../source/models/model_abilities/chat.rst:39
#: ../../source/models/model_abilities/chat.rst:56
msgid "Chat API"
msgstr ""

#: ../../source/models/model_abilities/chat.rst:40
msgid "/v1/chat/completions"
msgstr ""

#: ../../source/models/model_abilities/chat.rst:42
msgid "generate"
msgstr ""

#: ../../source/models/model_abilities/chat.rst:43
#: ../../source/models/model_abilities/chat.rst:222
msgid "Generate API"
msgstr ""

#: ../../source/models/model_abilities/chat.rst:44
msgid "/v1/completions"
msgstr ""

#: ../../source/models/model_abilities/chat.rst:48
msgid "Supported models"
msgstr "지원되는 모델 목록"

#: ../../source/models/model_abilities/chat.rst:50
msgid ""
"You can examine the abilities of all the :ref:`builtin LLM models in "
"Xinference <models_llm_index>`."
msgstr ":ref:`Xinference에 내장된 LLM 모델의 기능을 모두 확인할 수 있습니다 <models_llm_index>`."

#: ../../source/models/model_abilities/chat.rst:53
msgid "Chat Models"
msgstr "채팅 모델"

#: ../../source/models/model_abilities/chat.rst:58
msgid ""
"The Chat API mimics OpenAI's `Chat Completion API "
"<https://platform.openai.com/docs/api-reference/chat/create>`__. We can try "
"Chat API out either via cURL, OpenAI Client, or Xinference's python client:"
msgstr ""
"cURL, OpenAI Client 또는 Xinference의 Python 클라이언트를 사용하여 Chat API를 테스트해 보세요:"

#: ../../source/models/model_abilities/chat.rst:145
msgid "You can find more examples of Chat API in the tutorial notebook:"
msgstr "튜토리얼 노트북에서 더 많은 Chat API 예제를 찾을 수 있습니다."

#: ../../source/models/model_abilities/chat.rst:149
msgid "Gradio Chat"
msgstr ""

#: ../../source/models/model_abilities/chat.rst:152
msgid ""
"Learn from an example of utilizing the Chat API with the Xinference Python "
"client."
msgstr "Xinference의 Chat API와 Python 클라이언트를 사용하는 방법을 배우는 예시입니다."

#: ../../source/models/model_abilities/chat.rst:155
msgid "Hybrid Thinking Models"
msgstr "Mixed Thinking Model"

#: ../../source/models/model_abilities/chat.rst:157
msgid ""
"Some LLMs are marked as ``hybrid`` and can run with or without thinking "
"mode."
msgstr "일부 대형 언어 모델은 ``혼합형``으로 표시되어 있으며, 사고 모드 실행 여부를 선택할 수 있습니다."

#: ../../source/models/model_abilities/chat.rst:159
msgid "Request-level ``enable_thinking`` is added in v1.17.0"
msgstr "요청 수준의 ``enable_thinking`` 스위치는 v1.17.0에서 지원됩니다."

#: ../../source/models/model_abilities/chat.rst:162
msgid ""
"Xinference exposes a request-level ``enable_thinking`` switch that works "
"across different model templates (e.g. Qwen uses ``enable_thinking`` while "
"some DeepSeek templates use ``thinking``)."
msgstr ""
"Xinference는 요청 수준의 ``enable_thinking`` 스위치를 제공하며, 이 스위치는 다양한 모델 템플릿에 "
"적용됩니다(예: Qwen은 ``enable_thinking``을 사용하고, 일부 DeepSeek 템플릿은 ``thinking``을 "
"사용합니다)."

#: ../../source/models/model_abilities/chat.rst:165
msgid "Usage examples:"
msgstr "사용 예시:"

#: ../../source/models/model_abilities/chat.rst:219
msgid "Generate Models"
msgstr "생성 모델"

#: ../../source/models/model_abilities/chat.rst:224
msgid ""
"The Generate API mirrors OpenAI's legacy `Completions API "
"<https://platform.openai.com/docs/api-reference/completions/create>`__."
msgstr ""
"Generate API는 OpenAI의 `Completions API "
"<https://platform.openai.com/docs/api-reference/completions/create>`__를 "
"복제했습니다."

#: ../../source/models/model_abilities/chat.rst:226
msgid ""
"The difference between the Generate API and the Chat API lies primarily in "
"the form of input. Opposite to the Chat API that takes a list of messages as"
" input, the Generate API accepts a freeform text string named \"prompt\"."
msgstr ""
"Generate API와 Chat API의 주요 차이점은 입력 형식에 있습니다. Chat API는 메시지 목록을 입력으로 받고, "
"Generate API는 `prompt`라는 자유 텍스트 문자열을 입력으로 받습니다."

#: ../../source/models/model_abilities/chat.rst:297
msgid "FAQ"
msgstr ""

#: ../../source/models/model_abilities/chat.rst:300
msgid ""
"Does Xinference's LLM provide integration methods for LangChain or "
"LlamaIndex?"
msgstr "Xinference의 LLM은 LangChain 또는 LlamaIndex와의 통합 방법을 제공하나요?"

#: ../../source/models/model_abilities/chat.rst:302
msgid ""
"Yes, you can refer to the related sections in their respective official "
"Xinference documentation. Here are the links:"
msgstr "네, 각각의 공식 Xinference 문서에서 관련 부분을 참고할 수 있습니다. 링크는 다음과 같습니다:"

#: ../../source/models/model_abilities/chat.rst:304
msgid ""
"`LangChain LLMs: Xinference "
"<https://python.langchain.com/docs/integrations/llms/xinference>`__"
msgstr ""

#: ../../source/models/model_abilities/chat.rst:306
msgid ""
"`LlamaIndex LLM integrations: Xinference  "
"<https://docs.llamaindex.ai/en/stable/examples/llm/xinference_local_deployment.html>`__"
msgstr ""

#~ msgid "Quickstart"
#~ msgstr "빠른 시작"
