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# Copyright (C) 2023, Xorbits Inc.
# This file is distributed under the same license as the Xinference package.
# FIRST AUTHOR <EMAIL@ADDRESS>, 2024.
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msgstr ""
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#: ../../source/models/model_abilities/chat.rst:5
msgid "Chat & Generate"
msgstr "Chat & Generazione"

#: ../../source/models/model_abilities/chat.rst:7
msgid "Learn how to chat with LLMs in Xinference."
msgstr "Scopri come chattare con un LLM in Xinference."

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

#: ../../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 ""
"I modelli con capacità di ``chat`` o ``generate`` sono generalmente chiamati"
" modelli linguistici di grandi dimensioni (LLM) o modelli di generazione "
"testuale. Questi modelli sono progettati per rispondere all'input ricevuto "
"producendo output testuale, comunemente chiamato \"prompt\". In generale, è "
"possibile guidare questi modelli a completare compiti tramite istruzioni "
"specifiche o fornendo esempi concreti."

#: ../../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 ""
"I modelli con capacità ``generate`` sono tipicamente modelli linguistici di "
"grandi dimensioni pre-addestrati. D'altra parte, i modelli dotati della "
"funzionalità ``chat`` sono LLM (Language Model) ottimizzati e allineati, "
"appositamente perfezionati per scenari di dialogo. Nella maggior parte dei "
"casi, i modelli che terminano con \"chat\" (ad esempio ``llama-2-chat``, "
"``qwen-chat``, ecc.) possiedono la funzionalità ``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 e l'API Generate offrono due metodi diversi per interagire con "
"gli LLM:"

#: ../../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 Chat (simile alla `Chat Completion API "
"<https://platform.openai.com/docs/api-reference/chat/create>`__ di OpenAI) "
"supporta conversazioni multi-turno."

#: ../../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 API (simile alla `Completions API "
"<https://platform.openai.com/docs/api-reference/completions/create>`__ di "
"OpenAI) consente di generare testo a partire da un prompt testuale."

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

#: ../../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 "Endpointi compatibili 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 "Elenco dei modelli supportati"

#: ../../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 ""
"Puoi visualizzare le capacità di tutti i modelli LLM integrati in "
":ref:`Xinference <models_llm_index>`."

#: ../../source/models/model_abilities/chat.rst:53
msgid "Chat Models"
msgstr "Modello di 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 ""
"Prova a utilizzare cURL, il client OpenAI o il client Python di Xinference "
"per testare la Chat API:"

#: ../../source/models/model_abilities/chat.rst:145
msgid "You can find more examples of Chat API in the tutorial notebook:"
msgstr "Puoi trovare ulteriori esempi di Chat API nel notebook tutorial."

#: ../../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 ""
"Esempio di come utilizzare l'API Chat di Xinference e il client Python."

#: ../../source/models/model_abilities/chat.rst:155
msgid "Hybrid Thinking Models"
msgstr "Modello di pensiero misto"

#: ../../source/models/model_abilities/chat.rst:157
msgid ""
"Some LLMs are marked as ``hybrid`` and can run with or without thinking "
"mode."
msgstr ""
"Alcuni modelli linguistici di grandi dimensioni sono contrassegnati come "
"``misti`` e possono essere configurati per utilizzare la modalità di "
"pensiero."

#: ../../source/models/model_abilities/chat.rst:159
msgid "Request-level ``enable_thinking`` is added in v1.17.0"
msgstr ""
"L'interruttore ``enable_thinking`` a livello di richiesta è supportato dalla"
" 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 fornisce un interruttore ``enable_thinking`` a livello di "
"richiesta, applicabile a diversi modelli di template (ad esempio, Qwen "
"utilizza ``enable_thinking``, mentre alcuni template DeepSeek usano "
"``thinking``)."

#: ../../source/models/model_abilities/chat.rst:165
msgid "Usage examples:"
msgstr "Esempi di utilizzo:"

#: ../../source/models/model_abilities/chat.rst:219
msgid "Generate Models"
msgstr "Modello 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 dell'`API Completions "
"<https://platform.openai.com/docs/api-reference/completions/create>`__ di "
"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 differenza principale tra Generate API e Chat API risiede nella forma "
"dell'input. Chat API accetta una lista di messaggi come input, mentre "
"Generate API accetta una stringa di testo libero chiamata prompt come input."

#: ../../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 offre metodi di integrazione dell'LLM 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 ""
"Sì, puoi fare riferimento alle sezioni pertinenti nei rispettivi documenti "
"ufficiali di Xinference. Ecco i link:"

#: ../../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 "Guida rapida"
