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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 & Generar"

#: ../../source/models/model_abilities/chat.rst:7
msgid "Learn how to chat with LLMs in Xinference."
msgstr "Aprende a chatear con un LLM en Xinference."

#: ../../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 ""
"Los modelos con capacidad ``chat`` o ``generate`` suelen denominarse modelos"
" de lenguaje grandes (LLM) o modelos de generación de texto. Estos modelos "
"están diseñados para responder en forma de salida de texto según la entrada "
"recibida, comúnmente denominada \"indicación\". En general, se pueden guiar "
"estos modelos para completar tareas mediante instrucciones específicas o "
"proporcionando ejemplos concretos."

#: ../../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 ""
"Los modelos con capacidad ``generate`` suelen ser grandes modelos de "
"lenguaje preentrenados. Por otro lado, los modelos equipados con la función "
"``chat`` son modelos de lenguaje (LLM) que han sido ajustados y alineados, "
"optimizados específicamente para escenarios de diálogo. En la mayoría de los"
" casos, los modelos que terminan en \"chat\" (por ejemplo, ``llama-2-chat``,"
" ``qwen-chat``, etc.) poseen la función ``chat``."

#: ../../source/models/model_abilities/chat.rst:22
msgid ""
"The Chat API and Generate API offer two distinct approaches for interacting "
"with LLMs:"
msgstr ""
"Chat API y Generate API ofrecen dos métodos diferentes para interactuar con "
"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 ""
"Chat API (similar a la `Chat Completion API "
"<https://platform.openai.com/docs/api-reference/chat/create>`__ de OpenAI) "
"permite conversaciones de múltiples rondas."

#: ../../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 ""
"La API de generación (similar a la `Completions API "
"<https://platform.openai.com/docs/api-reference/completions/create>`__ de "
"OpenAI) le permite generar texto a partir de un prompt textual."

#: ../../source/models/model_abilities/chat.rst:34
msgid "MODEL ABILITY"
msgstr "Capacidad del modelo"

#: ../../source/models/model_abilities/chat.rst:35
msgid "API ENDPOINT"
msgstr "Endpoints de la API"

#: ../../source/models/model_abilities/chat.rst:36
msgid "OpenAI-compatible ENDPOINT"
msgstr "Punto final compatible con 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 "Lista de modelos compatibles"

#: ../../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 ""
"Puedes consultar la capacidad de todos los modelos LLM integrados en "
":ref:`Xinference <models_llm_index>`."

#: ../../source/models/model_abilities/chat.rst:53
msgid "Chat Models"
msgstr "Modelo 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 ""
"Prueba usando cURL, el cliente de OpenAI o el cliente Python de Xinference "
"para probar la API de Chat:"

#: ../../source/models/model_abilities/chat.rst:145
msgid "You can find more examples of Chat API in the tutorial notebook:"
msgstr ""
"Puedes encontrar más ejemplos de la API de Chat en el cuaderno de "
"tutoriales."

#: ../../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 ""
"Ejemplos de cómo usar la API de Chat de Xinference y el cliente de Python."

#: ../../source/models/model_abilities/chat.rst:155
msgid "Hybrid Thinking Models"
msgstr "Modelo de pensamiento mixto"

#: ../../source/models/model_abilities/chat.rst:157
msgid ""
"Some LLMs are marked as ``hybrid`` and can run with or without thinking "
"mode."
msgstr ""
"Algunos modelos de lenguaje grandes están etiquetados como ``mixtos``, y se "
"puede elegir si habilitar el modo de pensamiento para su ejecución."

#: ../../source/models/model_abilities/chat.rst:159
msgid "Request-level ``enable_thinking`` is added in v1.17.0"
msgstr ""
"El interruptor ``enable_thinking`` a nivel de solicitud es compatible desde "
"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 proporciona un interruptor a nivel de solicitud "
"``enable_thinking``, que es aplicable a diferentes plantillas de modelo (por"
" ejemplo, Qwen usa ``enable_thinking``, mientras que algunas plantillas de "
"DeepSeek usan ``thinking``)."

#: ../../source/models/model_abilities/chat.rst:165
msgid "Usage examples:"
msgstr "Ejemplo de uso:"

#: ../../source/models/model_abilities/chat.rst:219
msgid "Generate Models"
msgstr "Modelo generativo"

#: ../../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 replica la `Completions API "
"<https://platform.openai.com/docs/api-reference/completions/create>`__ de "
"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 diferencia entre Generate API y Chat API radica principalmente en la "
"forma de entrada. Chat API acepta una lista de mensajes como entrada, "
"mientras que Generate API acepta una cadena de texto libre llamada prompt "
"como entrada."

#: ../../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 ""
"¿El LLM de Xinference proporciona métodos de integración con LangChain o "
"LlamaIndex?"

#: ../../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 ""
"Sí, puedes consultar la sección correspondiente en la documentación oficial "
"de Xinference de cada uno. Aquí están los enlaces:"

#: ../../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 ""
