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## **Industry Status: Inference ≠ The More, The Better**
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## Industry Status: Inference ≠ The More, The Better
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Over the past year, **Hybrid inference / automatic routing** has become one of the hottest topics in the large model industry.
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In summary: The industry is entering a new era where **"not a single token should be wasted"**.
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## **Recent Research: vLLM Semantic Router**
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## Recent Research: vLLM Semantic Router
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Amid the industry's push for "Hybrid inference," we focus on the **open-source inference engine vLLM**.
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Especially in knowledge-intensive areas like business and economics, accuracy improvements even exceed **20%**.
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## **Background of the vLLM Semantic Router Project**
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## Background of the vLLM Semantic Router Project
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The Semantic Router is not the isolated outcome of a single paper, but rather the result of collaboration and sustained efforts within the open-source community:
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You can start exploring and experience it by visiting the GitHub repository: [https://github.com/vllm-project/semantic-router](https://github.com/vllm-project/semantic-router).
The large model industry has shifted from "Can we perform inference?" to "**When to perform inference and how to perform it?**"
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Thus, the next frontier will be: **Intelligent self-adjusting inference mechanisms**. No need for explicit user switches or hardcoding; instead, the model/system can autonomously decide when to "think deeply" or provide a quick answer.
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## **Summary in One Sentence**
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## Summary in One Sentence
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***GPT-5**: Uses routing for business, driving widespread intelligence.
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***vLLM Semantic Router**: Uses semantic routing for efficiency, driving green AI.
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