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README.md

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+The Arch Family. 
+
+The Arch family of LLMs are designed to fast and efficient LLMs for common scenarios in agentic application worloads - helping developers stay focused on higher level objectives
+of their agents. These scenario include fast agent routing and hand-off, tools calls for common agentic scenarios to improve speed, guadrails and input/output validation of prompts. 
+The Arch family of LLMs also serve as the core intelligence for [Arch Gateway](https://github.com/katanemo/archgw) (an AI-native proxy server for prompts). 
+
+Current
+
+1. Arch-Guard: a fast and efficient model for jailbreak attempts; improves performance over Meta Prompt Guard
+2. Arch-Function-Chat: A state-of-the-art (SOTA) function calling model also trained to chat - especially useful in scenarios where the model must clarify and refine inputs from the user,
+accurately deterime user's downstream intent, and manage decision making in long-form context and complext user interactions. Achieving performance on par with GPT-4. 
+
+History
+
+1. Arch-Function: State-of-the-art (SOTA) function calling models 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.