no code implementations • 9 Mar 2024 • Shu Liu, Asim Biswal, Audrey Cheng, Xiangxi Mo, Shiyi Cao, Joseph E. Gonzalez, Ion Stoica, Matei Zaharia
In this paper, we explore how to optimize LLM inference for analytical workloads that invoke LLMs within relational queries.
1 code implementation • 31 Dec 2023 • Ying Sheng, Shiyi Cao, Dacheng Li, Banghua Zhu, Zhuohan Li, Danyang Zhuo, Joseph E. Gonzalez, Ion Stoica
High-demand LLM inference services (e. g., ChatGPT and BARD) support a wide range of requests from short chat conversations to long document reading.
1 code implementation • 12 Dec 2023 • Lianmin Zheng, Liangsheng Yin, Zhiqiang Xie, Jeff Huang, Chuyue Sun, Cody Hao Yu, Shiyi Cao, Christos Kozyrakis, Ion Stoica, Joseph E. Gonzalez, Clark Barrett, Ying Sheng
SGLang is designed for the efficient programming of LLMs and incorporates primitives for common LLM programming patterns.
1 code implementation • 6 Nov 2023 • Ying Sheng, Shiyi Cao, Dacheng Li, Coleman Hooper, Nicholas Lee, Shuo Yang, Christopher Chou, Banghua Zhu, Lianmin Zheng, Kurt Keutzer, Joseph E. Gonzalez, Ion Stoica
To capitalize on these opportunities, we present S-LoRA, a system designed for the scalable serving of many LoRA adapters.