Architectures of Efficiency: A Comprehensive Analysis of KV Cache Optimization for Large Language Model Inference

The Foundation: The KV Cache as a Double-Edged Sword The advent of Large Language Models (LLMs) based on the Transformer architecture has catalyzed a paradigm shift in artificial intelligence. Central Read More …

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

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 …