Tag: Model Efficiency

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

Posted on by uplatzblog

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 …

Conditional Computation at Scale: An Architectural Analysis of Mixture of Experts in Modern Foundation Models

Posted on by uplatzblog

Executive Summary The relentless pursuit of greater capabilities in artificial intelligence has been intrinsically linked to the scaling of model size, a principle codified in the scaling laws of deep Read More …