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Update doc (#178)

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Shuguang Chen 2024-10-10 22:30:54 -07:00 • committed by GitHub
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docs/source/guides/function_calling.rst
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@ -35,7 +35,7 @@ Function Calling Workflow
Arch-Function
-------------------------
The `Arch-Function <https://huggingface.co/collections/katanemolabs/arch-function-66f209a693ea8df14317ad68>`_ collection of large language models (LLMs) is a collection state-of-the-art (SOTA) LLMs specifically designed for **function calling** tasks.
The `Arch-Function <https://huggingface.co/collections/katanemo/arch-function-66f209a693ea8df14317ad68>`_ collection of large language models (LLMs) is a collection state-of-the-art (SOTA) LLMs specifically designed for **function calling** tasks.
The models are designed to understand complex function signatures, identify required parameters, and produce accurate function call outputs based on natural language prompts.
Achieving performance on par with GPT-4, these models set a new benchmark in the domain of function-oriented tasks, making them suitable for scenarios where automated API interaction and function execution is crucial.

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docs/source/guides/prompt_guard.rst
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@ -39,7 +39,7 @@ Arch-Guard is designed to address this challenge.
What Is Arch-Guard
~~~~~~~~~~~~~~~~~~
`Arch-Guard <https://huggingface.co/collections/katanemolabs/arch-guard-6702bdc08b889e4bce8f446d>`_ is a robust classifier model specifically trained on a diverse corpus of prompt attacks.
`Arch-Guard <https://huggingface.co/collections/katanemo/arch-guard-6702bdc08b889e4bce8f446d>`_ is a robust classifier model specifically trained on a diverse corpus of prompt attacks.
It excels at detecting explicitly malicious prompts, providing an essential layer of security for LLM applications.
By embedding Arch-Guard within the Arch architecture, we empower developers to build robust, LLM-powered applications while prioritizing security and safety. With Arch-Guard, you can navigate the complexities of prompt management with confidence, knowing you have a reliable defense against malicious input.