Tag: Model Scaling

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

Posted on by uplatzblog

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: An In-Depth Analysis of Mixture of Experts in Modern Language Models

Posted on by uplatzblog

Section 1: The Paradigm of Conditional Computation The trajectory of progress in artificial intelligence, particularly in the domain of large language models (LLMs), has long been synonymous with a simple, Read More …