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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 …
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 …
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 …