LMSYS (Large Model Systems Organization) Research Group
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A LMSYS (Large Model Systems Organization) Research Group is a research group that focuses on LLM development and LLM evaluation to democratize large model technologys and model system infrastructures.
- Context:
- It can create LMSYS Systems for model serving, model evaluation, and model optimization.
- It can develop Open-Source LLMs including Vicuna model series and LongChat model series.
- It can produce Crowdsourced Evaluation Platforms like LMSYS Org Chatbot Arena Benchmark Platform (now LMArena).
- It can generate LLM Datasets including LMSYS-Chat-1M, ToxicChat, and Arena conversation datasets.
- It can advance LLM Serving Frameworks through SGLang, S-LoRA, and FastChat.
- ...
- It can foster Community-Driven Evaluation through crowdsourced preference voting and human annotation.
- It can provide Benchmark Methodologys including MT-Bench, Arena Hard, and LongEval.
- It can enable Model Optimization Techniques like Lookahead Decoding and RouteLLM.
- It can organize AI Competitions with monetary prizes for human preference prediction.
- ...
- It can collaborate with Academic Institutions including UC Berkeley, Stanford University, UC San Diego, and CMU.
- It can partner with Technology Organizations including a16z, Sequoia Capital, and Anyscale.
- It can support Open-Source Community through GitHub repositorys and Hugging Face models.
- ...
- Example(s):
- LMSYS Historical Milestones, such as:
- LMSYS (2023-03-30), releasing Vicuna-13B achieving 90% ChatGPT quality.
- LMSYS (2023-05-03), launching Chatbot Arena with Elo rating system.
- LMSYS (2023-06-22), introducing MT-Bench for multi-turn evaluation.
- LMSYS (2023-06-29), releasing LongChat with 16K context length.
- LMSYS (2023-07-20), publishing Chatbot Arena dataset with 33K conversations.
- LMSYS (2023-09-21), releasing LMSYS-Chat-1M dataset with 1M conversations.
- LMSYS (2023-10-30), launching ToxicChat for toxicity detection benchmark.
- LMSYS (2023-11-15), introducing S-LoRA for serving thousands of LoRA adapters.
- LMSYS (2023-11-21), presenting Lookahead Decoding for parallel LLM inference.
- LMSYS (2024-01-17), releasing SGLang v0.1 with RadixAttention.
- LMSYS (2024-04-19), launching Arena Hard for high-quality benchmarks.
- LMSYS (2024-05-02), announcing LMSYS Kaggle Competition with $100,000 prizes.
- LMSYS (2024-06-27), introducing Multimodal Arena for vision-language models.
- LMSYS (2024-07-01), releasing RouteLLM for cost-effective LLM routing.
- LMSYS (2024-07-25), launching SGLang v0.2 outperforming TensorRT-LLM.
- LMSYS (2024-09-04), releasing SGLang v0.3 with 7x faster DeepSeek MLA.
- LMSYS (2024-09-13), launching RedTeam Arena for community-driven jailbreaking.
- LMSYS (2024-09-20), transitioning Chatbot Arena to LMArena.ai.
- LMSYS (2024-12-04), releasing SGLang v0.4 with zero-overhead batch scheduler.
- LMSYS Model Releases, such as:
- Vicuna Model Series, including Vicuna-7B, Vicuna-13B, and Vicuna-33B.
- LongChat Model Series, including LongChat-7B-16K and LongChat-13B-16K.
- FastChat-T5 Model Series, based on Flan-T5.
- LMSYS System Developments, such as:
- FastChat, an open platform for LLM training, LLM serving, and LLM evaluation.
- SGLang, a fast serving framework with RadixAttention and domain-specific language.
- S-LoRA, a scalable serving system for concurrent LoRA adapters.
- RouteLLM, a cost-effective routing framework for LLM selection.
- ...
- LMSYS Historical Milestones, such as:
- Counter-Example(s):
- Commercial AI Research Labs, which prioritize proprietary model development over open-source releases.
- Individual AI Researchers, which lack organizational infrastructure for large-scale system deployment.
- Pure Benchmark Organizations, which focus only on model evaluation without model development.
- Hardware-Focused AI Groups, which emphasize chip design over software systems.
- See: Large Language Models (LLMs), Open-Source AI Projects, AI Model Evaluation Platforms, UC Berkeley SkyLab, Crowdsourced AI Evaluation, LLM Serving Framework, AI Benchmark Platform.
References
2024
- LLM
- LMSYS (Large Model Systems Organization) is a research group focused on developing and studying large language models and AI systems. They are known for several contributions to the field of artificial intelligence:
- Chatbot Arena: LMSYS created an open platform for comparing and evaluating different AI chatbots and language models. This allows users to engage with various models and provide feedback on their performance.
- Vicuna: They developed Vicuna, an open-source large language model that gained attention for its performance relative to proprietary models.
- Research: LMSYS conducts research on various aspects of large language models, including their capabilities, limitations, and potential applications.
- Open-source contributions: The organization is committed to open-source development, making many of their tools and models available to the wider AI community.
- Model evaluation: LMSYS has developed methodologies for assessing the performance of large language models across various tasks and metrics.
- LMSYS (Large Model Systems Organization) is a research group focused on developing and studying large language models and AI systems. They are known for several contributions to the field of artificial intelligence: