1. LLM Inference Serving: Survey of Recent Advances and Opportunities
- Author
-
Li, Baolin, Jiang, Yankai, Gadepally, Vijay, and Tiwari, Devesh
- Subjects
Computer Science - Distributed, Parallel, and Cluster Computing ,Computer Science - Artificial Intelligence - Abstract
This survey offers a comprehensive overview of recent advancements in Large Language Model (LLM) serving systems, focusing on research since the year 2023. We specifically examine system-level enhancements that improve performance and efficiency without altering the core LLM decoding mechanisms. By selecting and reviewing high-quality papers from prestigious ML and system venues, we highlight key innovations and practical considerations for deploying and scaling LLMs in real-world production environments. This survey serves as a valuable resource for LLM practitioners seeking to stay abreast of the latest developments in this rapidly evolving field.
- Published
- 2024