Prompt Cache: Modular Attention Reuse for Low-Latency Inference
Paper
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2311.04934
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Published
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28
Efficient Inference
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Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models
Paper • 2311.08692 • Published • 12 -
Exponentially Faster Language Modelling
Paper • 2311.10770 • Published • 117 -
Memory Augmented Language Models through Mixture of Word Experts
Paper • 2311.10768 • Published • 16 -
Unlocking Anticipatory Text Generation: A Constrained Approach for Faithful Decoding with Large Language Models
Paper • 2312.06149 • Published • 2 -
SparQ Attention: Bandwidth-Efficient LLM Inference
Paper • 2312.04985 • Published • 38 -
Distributed Inference and Fine-tuning of Large Language Models Over The Internet
Paper • 2312.08361 • Published • 25 -
Steering Llama 2 via Contrastive Activation Addition
Paper • 2312.06681 • Published • 11 -
Context Tuning for Retrieval Augmented Generation
Paper • 2312.05708 • Published • 17 -
PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU
Paper • 2312.12456 • Published • 40 -
Soaring from 4K to 400K: Extending LLM's Context with Activation Beacon
Paper • 2401.03462 • Published • 27 -
Efficient LLM inference solution on Intel GPU
Paper • 2401.05391 • Published • 9 -
Supervised Knowledge Makes Large Language Models Better In-context Learners
Paper • 2312.15918 • Published • 8 -
BlackMamba: Mixture of Experts for State-Space Models
Paper • 2402.01771 • Published • 23 -
BitDelta: Your Fine-Tune May Only Be Worth One Bit
Paper • 2402.10193 • Published • 19 -
Speculative Streaming: Fast LLM Inference without Auxiliary Models
Paper • 2402.11131 • Published • 42 -
Smaller Language Models Are Better Instruction Evolvers
Paper • 2412.11231 • Published • 25