핵심 개념
Proposing LLMS for efficient LLM context management and acceleration of mobile AI services.
초록
Introduction to the paradigm shift towards LLMaaS.
Challenges faced by LLMs in maintaining persistent states across multiple invocations.
LLMS design focusing on chunk-wise memory management and optimization techniques.
Tolerance-Aware Compression, Swapping-Recompute Pipeline, and Chunk Lifecycle Management explained.
Detailed overview of LLMS's context memory model and its benefits.
Planning and execution of the Swapping-Recompute Pipeline for efficient context switching.
Chunk Lifecycle Management strategies like AoT Swapping and LCTRU-based Eviction discussed.
통계
LLMSは、競合するベースラインソリューションと比較して、コンテキスト切り替えの遅延を最大2桁削減します。