2024 · 23 citations · 4 references
ComputingComputer ScienceComputer SystemsComputational LinguisticsMachine LearningNatural Language ProcessingDeep LearningLanguage ModelingLanguage ModelsDecoding StrategiesKey InnovationsLanguage Model PretrainingLarge Language ModelsLarge-scale Natural Language ProcessingNeural Language ModelsOverview
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.
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DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · 2023 · 76.3K citations · Full text
Efficient Memory Management for Large Language Model Serving with PagedAttention
Woosuk Kwon, Z. Li, Siyuan Zhuang et al. · 2023 · 1.1K citations · Full text