Prompt optimizations for LLM serving

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Characterizing Software Aging in GPU-Based LLM Serving Systems

 🔧Systems-level optimizations for LLM serving  Content type: Academic
arxiv.org·

RedKnot: Efficient Long-Context LLM Serving with Head-Aware KV Reuse and SegPagedAttention

 🔧Systems-level optimizations for LLM serving  Content type: Academic
arxiv.org·

SIFT: Selective-Index For Fast Compute of RAG Prefill by Exploiting Attention Invariance

 🔍Retrieval-augmented generation  Content type: Academic
arxiv.org·

SPEAR: A System for Post-Quantization Error-Adaptive Recovery Enabling Efficient Low-Bit LLM Serving

 Model optimizations in LLMs  Content type: Academic
arxiv.org·
Less-relevant results

What Should a Skill Remember? Quality-Cost Trade-offs in Cost-Aware Skill Rewriting for Language Model Agents

 🧠Large Language Models (LLMs)  Content type: Academic
arxiv.org·

Tangram: Unlocking Non-Uniform KV Cache for Efficient Multi-turn LLM Serving

 🔧Systems-level optimizations for LLM serving  Content type: Academic
arxiv.org··Hacker News

Fairness-Aware and Latency-Controllable Scheduling for Chunked-Prefill LLM Serving

 🔧Systems-level optimizations for LLM serving  Content type: Academic
arxiv.org·

SpectrumKV: Per-Token Mixed-Precision KV Cache Transfer for Prefill-Decode Disaggregated LLM Serving

 🧠Large Language Models (LLMs)  Content type: Academic
arxiv.org·

Vortex: Efficient and Programmable Sparse Attention Serving for AI Agents

 🤖Agents using LLMs  Content type: Academic
arxiv.org·

Agents All the Way Down; A Methodology for Building Custom AI Agents from Substrate to Production

 🤖Agents using LLMs  Content type: Academic
arxiv.org·

Video-Rate Streaming Stylization on a Vision-Aware MLLM-Conditioned Edit Diffusion: Asymmetric Batched Inference on a Distilled UNet + MLLM Text Encoder

 Real-time AI Systems  Content type: Academic
arxiv.org·

AGENTSERVESIM: A Hardware-aware Simulator for Multi-Turn LLM Agent Serving

 🔧Systems-level optimizations for LLM serving  Content type: Academic
arxiv.org·

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