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985496f4be
Big docs refactor! Motivation is to make it easier for people to find resources they are looking for. To accomplish this, there are now three main sections: - Getting Started: steps for getting started, walking through most core functionality - Modules: these are different modules of functionality that langchain provides. Each part here has a "getting started", "how to", "key concepts" and "reference" section (except in a few select cases where it didnt easily fit). - Use Cases: this is to separate use cases (like summarization, question answering, evaluation, etc) from the modules, and provide a different entry point to the code base. There is also a full reference section, as well as extra resources (glossary, gallery, etc) Co-authored-by: Shreya Rajpal <ShreyaR@users.noreply.github.com>
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27 lines
1000 B
ReStructuredText
LLMs
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==========================
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Large Language Models (LLMs) are a core component of LangChain.
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LangChain is 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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- `Key Concepts <llms/key_concepts.html>`_: A conceptual guide going over the various concepts related to LLMs.
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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, as well as how to integrate with various LLM providers.
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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/key_concepts.md
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llms/getting_started.ipynb
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llms/how_to_guides.rst
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Reference</reference/modules/llms.rst> |