Fix docs (#2164)
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README.md
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README.md
@@ -41,15 +41,10 @@ The core features include:
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- **Active Community**: SGLang is open-source and backed by an active community with industry adoption.
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## Getting Started
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Install SGLang: See [https://sgl-project.github.io/start/install.html](https://sgl-project.github.io/start/install.html)
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Send requests: See [https://sgl-project.github.io/start/send_request.html](https://sgl-project.github.io/start/send_request.html)
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## Backend: SGLang Runtime (SRT)
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See [https://sgl-project.github.io/backend/backend.html](https://sgl-project.github.io/backend/backend.html)
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## Frontend: Structured Generation Language (SGLang)
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See [https://sgl-project.github.io/frontend/frontend.html](https://sgl-project.github.io/frontend/frontend.html)
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- [Install SGLang](https://sgl-project.github.io/start/install.html)
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- [Send requests](https://sgl-project.github.io/start/send_request.html)
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- [Backend: SGLang Runtime (SRT)](https://sgl-project.github.io/backend/backend.html)
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- [Frontend: Structured Generation Language (SGLang)](https://sgl-project.github.io/frontend/frontend.html)
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## Benchmark And Performance
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Learn more in our release blogs: [v0.2 blog](https://lmsys.org/blog/2024-07-25-sglang-llama3/), [v0.3 blog](https://lmsys.org/blog/2024-09-04-sglang-v0-3/)
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@@ -57,6 +52,9 @@ Learn more in our release blogs: [v0.2 blog](https://lmsys.org/blog/2024-07-25-s
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## Roadmap
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[Development Roadmap (2024 Q4)](https://github.com/sgl-project/sglang/issues/1487)
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## Citation And Acknowledgment
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## Adoption and Sponsorship
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The project is supported by (alphabetically): AMD, Baseten, Etched, Hyperbolic, Jam & Tea Studios, LinkedIn, NVIDIA, RunPod, Stanford, UC Berkeley, and xAI.
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## Acknowledgment and Citation
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We learned from the design and reused code from the following projects: [Guidance](https://github.com/guidance-ai/guidance), [vLLM](https://github.com/vllm-project/vllm), [LightLLM](https://github.com/ModelTC/lightllm), [FlashInfer](https://github.com/flashinfer-ai/flashinfer), [Outlines](https://github.com/outlines-dev/outlines), and [LMQL](https://github.com/eth-sri/lmql).
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Please cite our paper, [SGLang: Efficient Execution of Structured Language Model Programs](https://arxiv.org/abs/2312.07104), if you find the project useful.
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We also learned from the design and reused code from the following projects: [Guidance](https://github.com/guidance-ai/guidance), [vLLM](https://github.com/vllm-project/vllm), [LightLLM](https://github.com/ModelTC/lightllm), [FlashInfer](https://github.com/flashinfer-ai/flashinfer), [Outlines](https://github.com/outlines-dev/outlines), and [LMQL](https://github.com/eth-sri/lmql).
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