LMSYS and SGLang Happy Hour
Join top engineers and researchers to explore the latest breakthroughs in AI infrastructure! Hosted by LMSYS Org and SGLang and sponsored by Notable Capital, this event is your gateway to cutting-edge insights in the field.
We’re excited to feature three outstanding speakers:
Ying Sheng – Member of Technical Staff at xAI, incoming Assistant Professor at UCLA, and Stanford Ph.D. graduate.
Chenyang Zhao – Co-leader of the SGLang project. As a first-year Ph.D. student at UCLA advised by Quanquan Gu, he’s diving deep into ML Systems and LM Systems, with a special interest in RLHF systems.
Huizi Mao – Engineering Lead at NVIDIA ModelOpt, co-founder of OmniML, and Stanford Ph.D. graduate.
Haibin Lin - works on ML systems, focusing on optimizing training performance for LLMs & multimodal understanding and generation models (with 10k+ GPUs).
About LMSYS Org:
LMSYS Org (Large Model Systems Corp.) is a 501(c)(3) non-profit dedicated to developing open-source projects and advancing research in large AI models. Our mission is to democratize access to these models by co-developing open models, datasets, systems, and evaluation tools. We are at the forefront of machine learning research, open-source software development, large language model training, and building distributed systems to optimize both training and inference.
About SGLang:
SGLang is a high-performance serving framework for large language and vision-language models. By co-designing its backend runtime with the frontend language, SGLang enables faster and more controllable interactions with AI models.
About Notable Capital:
Notable Capital is a U.S.-based venture capital firm investing in early-to-growth-stage companies in cloud infrastructure, business, and consumer applications. Their portfolio includes top companies like Affirm, Airbnb, Block, HashiCorp, Slack, and many more.
Welcome to the party—see you there!