Conditional Computation at Scale: A Comprehensive Technical Analysis of Mixture of Experts (MoE) Architectures, Routing Dynamics, and Hardware Co-Design

1. The Efficiency Imperative and the Shift to Sparse Activation The evolution of large language models (LLMs) has been governed for nearly a decade by the scaling laws of dense Read More …

The Architecture of Scale: A Comprehensive Analysis of Mixture of Experts in Large Language Models

Part I: Foundational Principles of Sparse Architectures Section 1: Introduction – The Scaling Imperative and the Rise of Conditional Computation The trajectory of progress in large language models (LLMs) has Read More …