ACM AI | Compressing LLMs for Efficient Inference | Reading Group W25W6

ACM AI | Compressing LLMs for Efficient Inference | Reading Group W25W6

LLM Inference Engines: Optimizing PerformanceПодробнее

LLM Inference Engines: Optimizing Performance

Lossless LLM Compression: Smaller Models, Faster GPUsПодробнее

Lossless LLM Compression: Smaller Models, Faster GPUs

Revolutionizing LLM Inference: LLMLingua's Breakthrough in Prompt Compression 🚀Подробнее

Revolutionizing LLM Inference: LLMLingua's Breakthrough in Prompt Compression 🚀

Boost LLM Efficiency on CPUs: Simplified Inference Techniques for Optimal PerformanceПодробнее

Boost LLM Efficiency on CPUs: Simplified Inference Techniques for Optimal Performance

LLM on Inference: Model Optimization TechniquesПодробнее

LLM on Inference: Model Optimization Techniques

KDD 2024 - LLM4DyG Can Large Language Models Solve Spatial-Temporal Problems on Dynamic GraphsПодробнее

KDD 2024 - LLM4DyG Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs

How Large Language Models WorkПодробнее

How Large Language Models Work

Compression Enabled MRAM Memory Chiplet Subsystems for LLM Inference AcceleratorsПодробнее

Compression Enabled MRAM Memory Chiplet Subsystems for LLM Inference Accelerators

Beyond Inference Scaling: Sleep-Time Compute for LLMsПодробнее

Beyond Inference Scaling: Sleep-Time Compute for LLMs

RetroInfer: Efficient Long Context LLMsПодробнее

RetroInfer: Efficient Long Context LLMs

Understanding LLM Inference | NVIDIA Experts Deconstruct How AI WorksПодробнее

Understanding LLM Inference | NVIDIA Experts Deconstruct How AI Works

KDD2024 - Scaling Training Data with Lossy Image CompressionПодробнее

KDD2024 - Scaling Training Data with Lossy Image Compression

EfficientML.ai 2024 | Introduction to Deep Compression AutoencoderПодробнее

EfficientML.ai 2024 | Introduction to Deep Compression Autoencoder

Deep Dive: Optimizing LLM inferenceПодробнее

Deep Dive: Optimizing LLM inference

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