Tag: Pruning

Architecting Efficiency: A Comprehensive Analysis of Automated Model Compression Pipelines

Posted on by uplatzblog

The Imperative for Model Compression in Modern Deep Learning The discipline of model compression has transitioned from a niche optimization concern to a critical enabler for the practical deployment of Read More …

A Comprehensive Analysis of Modern LLM Inference Optimization Techniques: From Model Compression to System-Level Acceleration

Posted on by uplatzblog

The Anatomy of LLM Inference and Its Intrinsic Bottlenecks The deployment of Large Language Models (LLM) in production environments has shifted the focus of the machine learning community from training-centric Read More …