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LMSYS Org

LMSYS Org enables high-quality chat interactions, being fine-tuned from LLaMA with user-shared conversation data.
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LMSYS Org

What is LMSYS Org?

In the context of FastChat, LMSYS Org is a language model that users can choose to chat with. It is fine-tuned from LLaMA based on user-shared conversations and is expected to perform the best according to the developers' evaluation.

Who created LMSYS Org?

Vicuna was created by the Large Model Systems Organization, which is currently run by students and faculty members from UC Berkeley Sky Lab. It was launched on March 31, 2023. The organization aims to make large models accessible to everyone by developing open models, datasets, systems, and evaluation tools. The development team includes student members such as Lianmin Zheng, Ying Sheng, Lisa Dunlap, and faculty members like Joseph E. Gonzalez and Eric P. Xing.

What is LMSYS Org used for?

  • Chatbot impressing GPT-4 with 90% ChatGPT quality
  • Scalable and gamified evaluation of LLMs via crowdsourcing and Elo rating systems
  • A fast-serving engine for LLMs and VLMs
  • Large-scale real-world LLM conversation dataset
  • Open platform for training, serving, and evaluating LLM-based chatbots
  • Set of challenging, multi-turn, and open-ended questions for evaluating chatbots
  • Automatic pipeline converting live data to high-quality benchmarks for evaluating chatbots
  • Open-source framework for serving and evaluating LLM routers
  • A chatbot impressing GPT-4 with 90% ChatGPT quality
  • A fast serving engine for LLMs and VLMs
  • A large-scale real-world LLM conversation dataset
  • An open platform for training, serving, and evaluating LLM-based chatbots
  • A set of challenging, multi-turn, and open-ended questions for evaluating chatbots
  • An automatic pipeline converting live data to high-quality benchmarks for evaluating chatbots
  • An open-source framework for serving and evaluating LLM routers
  • Impressing GPT-4 with 90% ChatGPT quality
  • Available in 7B/13B/33B sizes

Who is LMSYS Org for?

  • Language model developers
  • Chatbot developers
  • AI researchers
  • Linguists
  • Developers
  • Researchers
  • Students

How to use LMSYS Org?

To use Vicuna within the FastChat tool, follow these steps:

  1. Navigate to the FastChat platform, which allows users to engage with open large language models for research purposes.
  2. Choose Vicuna from the available language models, along with Alpaca and LLaMA.
  3. Initiate a conversation with Vicuna, which has been fine-tuned from LLaMA based on user-shared conversations for optimal performance.
  4. Utilize the chatbot capabilities of Vicuna, known for impressing with 90% ChatGPT quality in various sizes.
  5. Explore the scalable and gamified evaluation of large language models (LLMs) offered by the Chatbot Arena feature.
  6. Familiarize yourself with SGLang, a fast serving engine for LLMs and VLMs within the FastChat environment.
  7. Engage with the LMSYS-Chat-1M dataset, a large-scale real-world LLM conversation dataset available for research purposes.
  8. Acknowledge that FastChat is intended for non-commercial use only and should not be used for commercial purposes.

By following these steps, users can effectively utilize Vicuna within the FastChat tool for engaging with advanced language models and conducting research in a user-friendly interface.

Pros
  • Vicuna chatbot impresses GPT-4 with 90%* ChatGPT quality
  • Available in 7B/13B/33B sizes
  • A chatbot impressing GPT-4 with 90% ChatGPT quality
  • Vicuna is a chatbot impressing GPT-4 with 90% ChatGPT quality
  • A chatbot impressing GPT-4 with 90%* ChatGPT quality
  • Scalable and gamified evaluation of LLMs via crowdsourcing and Elo rating systems
  • A fast serving engine for LLMs and VLMs
  • A large-scale real-world LLM conversation dataset
  • An open platform for training, serving, and evaluating LLM-based chatbots
  • A set of challenging, multi-turn, and open-ended questions for evaluating chatbots
  • An automatic pipeline converting live data to high-quality benchmarks for evaluating chatbots
  • An open-source framework for serving and evaluating LLM routers
Cons
  • Limited safety measures to prevent offensive content generation
  • Possibility of encountering offensive content despite safety measures
  • Non-commercial usage policy
  • Mobile devices may compromise quality due to technical limitations
  • Non-commercial use only, not suitable for commercial purposes
  • Mobile devices may compromise the quality of the tool due to technical limitations
  • Inappropriate content flagged by users is collected for research purposes
  • Limited number of available language models compared to other tools in the industry
  • Missing features or functionality compared to other AI tools in the same industry
  • Data collection from user dialogues may raise privacy concerns
  • Not explicitly stated if the tool justifies value for money based on its performance and features
  • Potential limitations in terms of use, including non-commercial usage policy and offensive content generation risk
  • Non-commercial use policy
  • Mobile device usage compromising tool quality
  • User dialogue data collection for future research

LMSYS Org FAQs

What are the three language models available in FastChat?
The three language models available in FastChat are Vicuna, Alpaca, and LLaMA.
Can I use FastChat for commercial purposes?
No, you cannot use FastChat for commercial purposes. Its use is strictly intended for non-commercial, research purposes.
What safety measures does FastChat have in place to prevent offensive content generation?
FastChat implements limited safety measures to prevent offensive content generation. However, it may still generate offensive content. Users are given a flag button to report any inappropriate content they encounter.
Why is FastChat best used on desktop computers?
FastChat is best used on desktop computers as mobile devices may compromise the quality of the tool due to technical limitations.
Can I access FastChat's Github code repository?
Yes, you can access FastChat's Github code repository. The code is publicly available for developers to customize and implement the tool.
What types of research can FastChat be used for?
FastChat can be used for any research that involves open large language models, including but not limited to language understanding, human-computer interaction, and linguistics.

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