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\ No newline at end of file diff --git a/_next/data/JRQXXeceju2X6mKkXXX0m/about.json b/_next/data/JRQXXeceju2X6mKkXXX0m/about.json deleted file mode 100644 index 094de936..00000000 --- a/_next/data/JRQXXeceju2X6mKkXXX0m/about.json +++ /dev/null @@ -1 +0,0 @@ -{"pageProps":{"frontmatter":{"title":"About"},"content":"\nLarge Model Systems (LMSYS Corp.) is a 501(c)(3) non-profit focused on incubating open-source projects and research.\nOur mission is to make large AI models accessible to everyone by co-developing open models, datasets, systems, and evaluation tools. We conduct cutting-edge machine learning research, develop open-source software, train large language models for broad accessibility, and build distributed systems to optimize their training and inference.\n\n## Directors and officers\n[Lianmin Zheng](https://lmzheng.net/), [Ying Sheng](https://sites.google.com/view/yingsheng/home), [Wei-Lin Chiang](https://infwinston.github.io/), [Zihao Ye](https://homes.cs.washington.edu/~zhye/), [Yusi Chen]()\n\n## Project members\n[Ke Bao](https://github.com/ispobock),\n[Shiyi Cao](https://shiyicao.com/),\n[Christopher Chou](https://github.com/BabyChouSr),\n[Lisa Dunlap](https://lisabdunlap.com),\n[Evan Frick](https://efrick2002.github.io/),\n[Dacheng Li](https://dachengli1.github.io/),\n[Tianle Li](https://codingwithtim.github.io/),\n[Zhuohan Li](https://people.eecs.berkeley.edu/~zhuohan/),\n[Zi Lin](https://zi-lin.com/),\n[Isaac Ong](https://isaacong.me),\n[Zhanghao Wu](https://zhanghaowu.me/),\n[Zhiqiang Xie](https://zhiqiangxie.com/)\n[Shuo Yang](https://github.com/andy-yang-1),\n[Liangsheng Yin](https://www.lsyin.me/),\n[Yineng Zhang](https://zhyncs.com/),\n[Chenyang Zhao](https://zhaochenyang20.github.io/Chayenne/),\n[Siyuan Zhuang](https://github.com/suquark),\n[Yonghao Zhuang](https://github.com/ZYHowell)\n\nProject memberships are granted to individuals who have demonstrated outstanding technical contributions and research impact in artificial intelligence, as evaluated by our advisory board of distinguished academics and industry leaders.\n\n## Advisors\n[Joseph E. Gonzalez](https://people.eecs.berkeley.edu/~jegonzal/), [Ion Stoica](https://people.eecs.berkeley.edu/~istoica/), [Eric P. Xing](http://www.cs.cmu.edu/~epxing/), [Hao Zhang](https://people.eecs.berkeley.edu/~hao/)\n\n## Sponsors\nLMSYS is supported by donations from the following institutions:\n\n[NVIDIA](https://www.nvidia.com/),\n[AMD](https://www.amd.com/),\n[a16z](https://a16z.com/),\n[Hyperbolic](https://hyperbolic.xyz),\n[RunPod](https://www.runpod.io/),\n[Kaggle](https://www.kaggle.com/),\n[MBZUAI](https://mbzuai.ac.ae/),\n[Together](https://www.together.ai/),\n[Anyscale](https://www.anyscale.com/),\n[HuggingFace](https://huggingface.co/)\n\nWe also thank the following companies for providing API credits to serve their models on Chatbot Arena (graduated):\n[Alibaba](https://www.alibabacloud.com/en/solutions/generative-ai/qwen), [Anthropic](https://www.anthropic.com/api), [Cohere](https://cohere.com/), [Databricks](https://www.databricks.com/), [Google](https://ai.google.dev/), [Mistral](https://mistral.ai/), [OpenAI](https://www.openai.com/), [Reka](https://www.reka.ai/), [Zhipu AI](https://open.bigmodel.cn/), [01ai](https://www.01.ai/)\n\nWe welcome diverse forms of donations and sponsorships, including but not limited to cash, computing devices (e.g., GPUs), and cloud credits. Please contact us at [lmsys.org@gmail.com](mailto:lmsysorg@gmail.com) to learn more about sponsorships and benefits.\n\n## History\nLMSYS originated from a multi-university collaboration involving UC Berkeley, Stanford, UCSD, CMU, and MBZUAI in 2023.\nIt was established as a non-profit corporation in September 2024 to incubate early-stage open-source and research projects.\nIt became well-known for its impactful flagship projects, including:\n\n- [Chatbot Arena (graduated)](https://lmarena.ai/)\n- [SGLang](https://github.com/sgl-project/sglang/tree/main)\n- [FastChat](https://github.com/lm-sys/FastChat/tree/main)\n- [Vicuna LLM](https://en.wikipedia.org/wiki/Vicuna_LLM)\n\nThese projects feature open models with millions of downloads, crowdsourced platforms with millions of users, and efficient systems that are orders of magnitude faster.\n\n## Contact us\n- Email us at [lmsys.org@gmail.com](mailto:lmsysorg@gmail.com).\n- Join us on [discord](https://discord.com/invite/HSWAKCrnFx).\n- Follow us on [twitter](https://twitter.com/lmsysorg).\n"},"__N_SSG":true} \ No newline at end of file diff --git a/_next/data/qOhTfPQvCnOGB1Ww85gN3/about.json b/_next/data/qOhTfPQvCnOGB1Ww85gN3/about.json new file mode 100644 index 00000000..847a0475 --- /dev/null +++ b/_next/data/qOhTfPQvCnOGB1Ww85gN3/about.json @@ -0,0 +1 @@ +{"pageProps":{"frontmatter":{"title":"About"},"content":"\nLarge Model Systems (LMSYS Corp.) is a 501(c)(3) non-profit focused on incubating open-source projects and research.\nOur mission is to make large AI models accessible to everyone by co-developing open models, datasets, systems, and evaluation tools. We conduct cutting-edge machine learning research, develop open-source software, train large language models for broad accessibility, and build distributed systems to optimize their training and inference.\n\n## Directors and officers\n[Lianmin Zheng](https://lmzheng.net/), [Ying Sheng](https://sites.google.com/view/yingsheng/home), [Wei-Lin Chiang](https://infwinston.github.io/), [Zihao Ye](https://homes.cs.washington.edu/~zhye/), [Yusi Chen]()\n\n## Project members\n[Ke Bao](https://github.com/ispobock),\n[Shiyi Cao](https://shiyicao.com/),\n[Christopher Chou](https://github.com/BabyChouSr),\n[Lisa Dunlap](https://lisabdunlap.com),\n[Evan Frick](https://efrick2002.github.io/),\n[Dacheng Li](https://dachengli1.github.io/),\n[Tianle Li](https://codingwithtim.github.io/),\n[Zhuohan Li](https://people.eecs.berkeley.edu/~zhuohan/),\n[Zi Lin](https://zi-lin.com/),\n[Isaac Ong](https://isaacong.me),\n[Zhanghao Wu](https://zhanghaowu.me/),\n[Zhiqiang Xie](https://zhiqiangxie.com/)\n[Shuo Yang](https://github.com/andy-yang-1),\n[Liangsheng Yin](https://www.lsyin.me/),\n[Yineng Zhang](https://zhyncs.com/),\n[Chenyang Zhao](https://zhaochenyang20.github.io/Chayenne/),\n[Siyuan Zhuang](https://github.com/suquark),\n[Yonghao Zhuang](https://github.com/ZYHowell)\n\nProject memberships are granted to individuals who have demonstrated outstanding technical contributions and research impact in LMSYS projects, as evaluated by our advisory board of distinguished academics and industry leaders.\n\n## Advisors\n[Joseph E. Gonzalez](https://people.eecs.berkeley.edu/~jegonzal/), [Ion Stoica](https://people.eecs.berkeley.edu/~istoica/), [Eric P. Xing](http://www.cs.cmu.edu/~epxing/), [Hao Zhang](https://people.eecs.berkeley.edu/~hao/)\n\n## Sponsors\nLMSYS is supported by donations from the following institutions:\n\n[NVIDIA](https://www.nvidia.com/),\n[AMD](https://www.amd.com/),\n[a16z](https://a16z.com/),\n[Hyperbolic](https://hyperbolic.xyz),\n[RunPod](https://www.runpod.io/),\n[Kaggle](https://www.kaggle.com/),\n[MBZUAI](https://mbzuai.ac.ae/),\n[Together](https://www.together.ai/),\n[Anyscale](https://www.anyscale.com/),\n[HuggingFace](https://huggingface.co/)\n\nWe also thank the following companies for providing API credits to serve their models on Chatbot Arena (graduated):\n[Alibaba](https://www.alibabacloud.com/en/solutions/generative-ai/qwen), [Anthropic](https://www.anthropic.com/api), [Cohere](https://cohere.com/), [Databricks](https://www.databricks.com/), [Google](https://ai.google.dev/), [Mistral](https://mistral.ai/), [OpenAI](https://www.openai.com/), [Reka](https://www.reka.ai/), [Zhipu AI](https://open.bigmodel.cn/), [01ai](https://www.01.ai/)\n\nWe welcome diverse forms of donations and sponsorships, including but not limited to cash, computing devices (e.g., GPUs), and cloud credits. Please contact us at [lmsys.org@gmail.com](mailto:lmsysorg@gmail.com) to learn more about sponsorships and benefits.\n\n## History\nLMSYS originated from a multi-university collaboration involving UC Berkeley, Stanford, UCSD, CMU, and MBZUAI in 2023.\nIt was established as a non-profit corporation in September 2024 to incubate early-stage open-source and research projects.\nIt became well-known for its impactful flagship projects, including:\n\n- [Chatbot Arena (graduated)](https://lmarena.ai/)\n- [SGLang](https://github.com/sgl-project/sglang/tree/main)\n- [FastChat](https://github.com/lm-sys/FastChat/tree/main)\n- [Vicuna LLM](https://en.wikipedia.org/wiki/Vicuna_LLM)\n\nThese projects feature open models with millions of downloads, crowdsourced platforms with millions of users, and efficient systems that are orders of magnitude faster.\n\n## Contact us\n- Email us at [lmsys.org@gmail.com](mailto:lmsysorg@gmail.com).\n- Join us on [discord](https://discord.com/invite/HSWAKCrnFx).\n- Follow us on [twitter](https://twitter.com/lmsysorg).\n"},"__N_SSG":true} \ No newline at end of file diff --git a/_next/data/JRQXXeceju2X6mKkXXX0m/blog.json b/_next/data/qOhTfPQvCnOGB1Ww85gN3/blog.json similarity index 100% rename from _next/data/JRQXXeceju2X6mKkXXX0m/blog.json rename to _next/data/qOhTfPQvCnOGB1Ww85gN3/blog.json diff --git a/_next/data/JRQXXeceju2X6mKkXXX0m/blog/2023-03-30-vicuna.json b/_next/data/qOhTfPQvCnOGB1Ww85gN3/blog/2023-03-30-vicuna.json similarity index 100% rename from _next/data/JRQXXeceju2X6mKkXXX0m/blog/2023-03-30-vicuna.json rename to _next/data/qOhTfPQvCnOGB1Ww85gN3/blog/2023-03-30-vicuna.json diff --git a/_next/data/JRQXXeceju2X6mKkXXX0m/blog/2023-05-03-arena.json b/_next/data/qOhTfPQvCnOGB1Ww85gN3/blog/2023-05-03-arena.json similarity index 100% rename from _next/data/JRQXXeceju2X6mKkXXX0m/blog/2023-05-03-arena.json rename to _next/data/qOhTfPQvCnOGB1Ww85gN3/blog/2023-05-03-arena.json diff --git 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b/_next/data/qOhTfPQvCnOGB1Ww85gN3/vicuna_eval.json similarity index 100% rename from _next/data/JRQXXeceju2X6mKkXXX0m/vicuna_eval.json rename to _next/data/qOhTfPQvCnOGB1Ww85gN3/vicuna_eval.json diff --git a/_next/static/JRQXXeceju2X6mKkXXX0m/_ssgManifest.js b/_next/static/JRQXXeceju2X6mKkXXX0m/_ssgManifest.js deleted file mode 100644 index 1714580a..00000000 --- a/_next/static/JRQXXeceju2X6mKkXXX0m/_ssgManifest.js +++ /dev/null @@ -1 +0,0 @@ -self.__SSG_MANIFEST=new Set(["\u002Fabout","\u002Fdonations","\u002Fvicuna_eval","\u002Fblog","\u002Fblog\u002F[slug]"]);self.__SSG_MANIFEST_CB&&self.__SSG_MANIFEST_CB() \ No newline at end of file diff --git a/_next/static/JRQXXeceju2X6mKkXXX0m/_buildManifest.js b/_next/static/qOhTfPQvCnOGB1Ww85gN3/_buildManifest.js similarity index 100% rename from _next/static/JRQXXeceju2X6mKkXXX0m/_buildManifest.js rename to _next/static/qOhTfPQvCnOGB1Ww85gN3/_buildManifest.js diff --git a/_next/static/JRQXXeceju2X6mKkXXX0m/_middlewareManifest.js b/_next/static/qOhTfPQvCnOGB1Ww85gN3/_middlewareManifest.js similarity index 100% rename from _next/static/JRQXXeceju2X6mKkXXX0m/_middlewareManifest.js rename to _next/static/qOhTfPQvCnOGB1Ww85gN3/_middlewareManifest.js diff --git a/_next/static/qOhTfPQvCnOGB1Ww85gN3/_ssgManifest.js b/_next/static/qOhTfPQvCnOGB1Ww85gN3/_ssgManifest.js new file mode 100644 index 00000000..eca788db --- /dev/null +++ b/_next/static/qOhTfPQvCnOGB1Ww85gN3/_ssgManifest.js @@ -0,0 +1 @@ +self.__SSG_MANIFEST=new Set(["\u002Fblog","\u002Fdonations","\u002Fabout","\u002Fvicuna_eval","\u002Fblog\u002F[slug]"]);self.__SSG_MANIFEST_CB&&self.__SSG_MANIFEST_CB() \ No newline at end of file diff --git a/about/index.html b/about/index.html index 386e3f1c..897f2c2b 100644 --- a/about/index.html +++ b/about/index.html @@ -1,4 +1,4 @@ -About | LMSYS Org

ABOUT

Large Model Systems (LMSYS Corp.) is a 501(c)(3) non-profit focused on incubating open-source projects and research. +About | LMSYS Org

ABOUT

Large Model Systems (LMSYS Corp.) is a 501(c)(3) non-profit focused on incubating open-source projects and research. Our mission is to make large AI models accessible to everyone by co-developing open models, datasets, systems, and evaluation tools. We conduct cutting-edge machine learning research, develop open-source software, train large language models for broad accessibility, and build distributed systems to optimize their training and inference.

Directors and officers

Lianmin Zheng, Ying Sheng, Wei-Lin Chiang, Zihao Ye, Yusi Chen

@@ -21,7 +21,7 @@

Project members

Chenyang Zhao, Siyuan Zhuang, Yonghao Zhuang

-

Project memberships are granted to individuals who have demonstrated outstanding technical contributions and research impact in artificial intelligence, as evaluated by our advisory board of distinguished academics and industry leaders.

+

Project memberships are granted to individuals who have demonstrated outstanding technical contributions and research impact in LMSYS projects, as evaluated by our advisory board of distinguished academics and industry leaders.

Advisors

Joseph E. Gonzalez, Ion Stoica, Eric P. Xing, Hao Zhang

Sponsors

@@ -56,4 +56,4 @@

Contact us

  • Join us on discord.
  • Follow us on twitter.
    • -
    \ No newline at end of file +
    \ No newline at end of file diff --git a/blog/2023-03-30-vicuna/index.html b/blog/2023-03-30-vicuna/index.html index f1db5efe..62e8bacf 100644 --- a/blog/2023-03-30-vicuna/index.html +++ b/blog/2023-03-30-vicuna/index.html @@ -1,4 +1,4 @@ -Vicuna: An Open-Source Chatbot Impressing GPT-4 with 90%* ChatGPT Quality | LMSYS Org

    Vicuna: An Open-Source Chatbot Impressing GPT-4 with 90%* ChatGPT Quality

    by: The Vicuna Team, Mar 30, 2023

    We introduce Vicuna-13B, an open-source chatbot trained by fine-tuning LLaMA on user-shared conversations collected from ShareGPT. Preliminary evaluation using GPT-4 as a judge shows Vicuna-13B achieves more than 90%* quality of OpenAI ChatGPT and Google Bard while outperforming other models like LLaMA and Stanford Alpaca in more than 90%* of cases. The cost of training Vicuna-13B is around $300. The code and weights, along with an online demo, are publicly available for non-commercial use.

    +Vicuna: An Open-Source Chatbot Impressing GPT-4 with 90%* ChatGPT Quality | LMSYS Org

    Vicuna: An Open-Source Chatbot Impressing GPT-4 with 90%* ChatGPT Quality

    by: The Vicuna Team, Mar 30, 2023

    We introduce Vicuna-13B, an open-source chatbot trained by fine-tuning LLaMA on user-shared conversations collected from ShareGPT. Preliminary evaluation using GPT-4 as a judge shows Vicuna-13B achieves more than 90%* quality of OpenAI ChatGPT and Google Bard while outperforming other models like LLaMA and Stanford Alpaca in more than 90%* of cases. The cost of training Vicuna-13B is around $300. The code and weights, along with an online demo, are publicly available for non-commercial use.

    Vicuna (generated by stable diffusion 2.1)

    *According to a fun and non-scientific evaluation with GPT-4. Further rigorous evaluation is needed.

    @@ -171,4 +171,4 @@

    Judging LLM-as-a-judge with MT-Bench and Chatbot Arena.

    -

    \ No newline at end of file +
    \ No newline at end of file diff --git a/blog/2023-05-03-arena/index.html b/blog/2023-05-03-arena/index.html index 0f01b3e2..341175c2 100644 --- a/blog/2023-05-03-arena/index.html +++ b/blog/2023-05-03-arena/index.html @@ -1,4 +1,4 @@ -Chatbot Arena: Benchmarking LLMs in the Wild with Elo Ratings | LMSYS Org

    Chatbot Arena: Benchmarking LLMs in the Wild with Elo Ratings

    by: Lianmin Zheng*, Ying Sheng*, Wei-Lin Chiang, Hao Zhang, Joseph E. Gonzalez, Ion Stoica, May 03, 2023

    We present Chatbot Arena, a benchmark platform for large language models (LLMs) that features anonymous, randomized battles in a crowdsourced manner. In this blog post, we are releasing our initial results and a leaderboard based on the Elo rating system, which is a widely-used rating system in chess and other competitive games. We invite the entire community to join this effort by contributing new models and evaluating them by asking questions and voting for your favorite answer.

    +Chatbot Arena: Benchmarking LLMs in the Wild with Elo Ratings | LMSYS Org

    Chatbot Arena: Benchmarking LLMs in the Wild with Elo Ratings

    by: Lianmin Zheng*, Ying Sheng*, Wei-Lin Chiang, Hao Zhang, Joseph E. Gonzalez, Ion Stoica, May 03, 2023

    We present Chatbot Arena, a benchmark platform for large language models (LLMs) that features anonymous, randomized battles in a crowdsourced manner. In this blog post, we are releasing our initial results and a leaderboard based on the Elo rating system, which is a widely-used rating system in chess and other competitive games. We invite the entire community to join this effort by contributing new models and evaluating them by asking questions and voting for your favorite answer.

    -
    \ No newline at end of file +
    \ No newline at end of file