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# This file is distributed under the same license as the Xinference package.
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#: ../../source/models/model_abilities/chat.rst:5
msgid "Chat & Generate"
msgstr "Chat & Génération"

#: ../../source/models/model_abilities/chat.rst:7
msgid "Learn how to chat with LLMs in Xinference."
msgstr "Apprenez à discuter avec un LLM dans Xinference."

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

#: ../../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 ""
"Les modèles capables de `chat` ou de `generate` sont souvent appelés grands "
"modèles de langage (LLM) ou modèles de génération de texte. Ces modèles sont"
" conçus pour répondre sous forme de texte en fonction des entrées reçues, "
"généralement appelées \"prompts\". En général, il est possible de guider ces"
" modèles pour accomplir des tâches en leur fournissant des instructions "
"spécifiques ou des exemples concrets."

#: ../../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 ""
"Les modèles capables de la fonction ``generate`` sont généralement de grands"
" modèles de langage pré-entraînés. En revanche, les modèles dotés de la "
"fonction ``chat`` sont des LLM (Language Model) affinés et alignés, "
"optimisés pour les scénarios de dialogue. Dans la plupart des cas, les "
"modèles se terminant par « chat » (par exemple ``llama-2-chat``, ``qwen-"
"chat``, etc.) possèdent la fonction ``chat``."

#: ../../source/models/model_abilities/chat.rst:22
msgid ""
"The Chat API and Generate API offer two distinct approaches for interacting "
"with LLMs:"
msgstr ""
"L'API Chat et l'API Generate offrent deux méthodes différentes d'interaction"
" avec les LLMs :"

#: ../../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 ""
"API de Chat (similaire à l'`API de complétion de chat "
"<https://platform.openai.com/docs/api-reference/chat/create>`__ d'OpenAI) "
"permet des dialogues multi-tours."

#: ../../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 ""
"L'API de génération (similaire à l'`API Completions d'OpenAI "
"<https://platform.openai.com/docs/api-reference/completions/create>`__) vous"
" permet de générer du texte à partir d'une invite textuelle."

#: ../../source/models/model_abilities/chat.rst:34
msgid "MODEL ABILITY"
msgstr "Capacité du modèle"

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

#: ../../source/models/model_abilities/chat.rst:36
msgid "OpenAI-compatible ENDPOINT"
msgstr "Point de terminaison compatible OpenAI"

#: ../../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 "Liste des modèles pris en charge"

#: ../../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 ""
"Vous pouvez consulter toutes les capacités des modèles LLM intégrés dans "
":ref:`Xinference <models_llm_index>`."

#: ../../source/models/model_abilities/chat.rst:53
msgid "Chat Models"
msgstr "Modèle de chat"

#: ../../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 ""
"Essayez d'utiliser cURL, OpenAI Client ou le client Python de Xinference "
"pour tester l'API Chat :"

#: ../../source/models/model_abilities/chat.rst:145
msgid "You can find more examples of Chat API in the tutorial notebook:"
msgstr ""
"Vous pouvez trouver plus d'exemples de l'API Chat dans le carnet de "
"tutoriel."

#: ../../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 ""
"Exemple d'apprentissage de l'utilisation de l'API Chat de Xinference et du "
"client Python."

#: ../../source/models/model_abilities/chat.rst:155
msgid "Hybrid Thinking Models"
msgstr "Modèle de réflexion hybride"

#: ../../source/models/model_abilities/chat.rst:157
msgid ""
"Some LLMs are marked as ``hybrid`` and can run with or without thinking "
"mode."
msgstr ""
"Certains grands modèles de langage sont étiquetés comme ``hybrides``, avec "
"la possibilité de choisir d'activer ou non le mode réflexion."

#: ../../source/models/model_abilities/chat.rst:159
msgid "Request-level ``enable_thinking`` is added in v1.17.0"
msgstr ""
"Le commutateur ``enable_thinking`` au niveau de la requête est pris en "
"charge dans la v1.17.0."

#: ../../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 ""
"Xinference fournit un interrupteur ``enable_thinking`` au niveau de la "
"requête, qui s'applique à différents modèles de templates (par exemple, Qwen"
" utilise ``enable_thinking``, tandis que certains templates DeepSeek "
"utilisent ``thinking``)."

#: ../../source/models/model_abilities/chat.rst:165
msgid "Usage examples:"
msgstr "Exemple d'utilisation :"

#: ../../source/models/model_abilities/chat.rst:219
msgid "Generate Models"
msgstr "Modèle génératif"

#: ../../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 API reproduit l'`API Completions "
"<https://platform.openai.com/docs/api-reference/completions/create>`__ "
"d'OpenAI."

#: ../../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 ""
"La principale différence entre l'API Generate et l'API Chat réside dans le "
"format d'entrée. L'API Chat accepte une liste de messages en entrée, tandis "
"que l'API Generate accepte une chaîne de texte libre appelée prompt en "
"entrée."

#: ../../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 ""
"Xinference fournit-il des méthodes d’intégration avec LangChain ou "
"LlamaIndex pour son LLM ?"

#: ../../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 ""
"Oui, vous pouvez vous référer aux sections correspondantes de la "
"documentation officielle Xinference pour chacun d'eux. Voici les liens :"

#: ../../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 "Démarrage rapide"
