Update README.md

README.md

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 # katanemo/Arch-Router-1.5B
 
 ## Overview
-Arch-Router is a **preference-based routing model** designed to intelligently select the most appropriate large language model (LLM) for a given prompt by leveraging a structured **domain–action taxonomy**. This framework enables fine-grained control over model selection by aligning user-defined preferences with model capabilities across a wide range of tasks and subject areas.
+With the rapid proliferation of large language models (LLM)—each optimized for different strengths, style, or latency/cost profile—routing has become an essential technique to operationalize the use of different models.
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+Existing work on LLM routing typically focuses on learning an optimal policy to route between a limited pool of models, where optimal is measured via well-defined performance benchmarks. This framework, however, is misaligned with real-world scenarios. Benchmark performance does not capture subjective evaluation and testing criteria in the real world.
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+Arch-Router is a preference-aligned routing model designed to intelligently guide model selection by matching queries to user-defined domains (e.g., finance and healthcare) and action types (e.g., code generation, image editing, etc.). Experiments on conversational datasets demonstrate that our approach achieves state-of-the-art (SOTA) results in matching queries with human preferences, outperforming top proprietary routing systems. Our preference-aligned approach matches practical definitions of performance in the real world and makes routing decisions more transparent and adaptable.
 
 ### How It Works