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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 Paradigm Shift from Algorithmic to Learned Routing The Inadequacy of Classical Routing in Modern Systems For decades, the field of computer networking has been underpinned by a class of Read More …
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 …
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 …