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 …

Dynamic Compute in Transformer Architectures: A Comprehensive Analysis of the Mixture of Depths Paradigm

Section 1: The Principle of Conditional Computation and the Genesis of Mixture of Depths The development of the Mixture of Depths (MoD) architecture represents a significant milestone in the ongoing Read More …