forked from Archives/langchain
705431aecc
Co-authored-by: Ankush Gola <ankush.gola@gmail.com>
32 lines
1.1 KiB
ReStructuredText
32 lines
1.1 KiB
ReStructuredText
LLMs
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==========================
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.. note::
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`Conceptual Guide <https://docs.langchain.com/docs/components/models/language-model>`_
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Large Language Models (LLMs) are a core component of LangChain.
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LangChain is not a provider of LLMs, but rather provides a standard interface through which
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you can interact with a variety of LLMs.
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The following sections of documentation are provided:
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- `Getting Started <./llms/getting_started.html>`_: An overview of all the functionality the LangChain LLM class provides.
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- `How-To Guides <./llms/how_to_guides.html>`_: A collection of how-to guides. These highlight how to accomplish various objectives with our LLM class (streaming, async, etc).
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- `Integrations <./llms/integrations.html>`_: A collection of examples on how to integrate different LLM providers with LangChain (OpenAI, Hugging Face, etc).
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- `Reference <../../reference/modules/llms.html>`_: API reference documentation for all LLM classes.
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.. toctree::
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:maxdepth: 1
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:name: LLMs
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:hidden:
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./llms/getting_started.ipynb
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./llms/how_to_guides.rst
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./llms/integrations.rst
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Reference<../../reference/modules/llms.rst>
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