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1. Introduction: The Quadratic Wall and the Imperative for Linearity The trajectory of artificial intelligence over the past decade has been defined, almost exclusively, by the ascendancy of the Transformer Read More …
1. The Inference Efficiency Paradox: Deterministic Hardware in a Stochastic Age The ascendancy of Large Language Models (LLMs) has precipitated a fundamental crisis in the architectural design of machine learning Read More …
1. Executive Summary The artificial intelligence landscape is currently undergoing a fundamental architectural transformation, shifting from composite, modular systems toward unified, native multimodal architectures. For the past decade, multimodal capabilities—the Read More …
1. The Inference Latency Crisis and the Memory Wall The deployment of Large Language Models (LLMs) has fundamentally altered the landscape of artificial intelligence, shifting the primary operational constraint from Read More …
1. Introduction: The Memory Wall and the IO-Aware Paradigm Shift The trajectory of modern artificial intelligence, particularly within the domain of Large Language Models (LLMs), has been defined by a Read More …
1. Executive Summary: The Agentic Pivot of 2025 The trajectory of artificial intelligence has undergone a fundamental phase shift in 2025. The industry has moved decisively beyond the “generative” era—characterized Read More …
1. Introduction: The Autoregressive Hegemony and the Diffusion Alternative 1.1 The Deterministic Bottleneck of Sequential Generation For the past decade, the field of Natural Language Processing (NLP) has been dominated Read More …
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 …
1. The Paradigm Shift to Connected Data The trajectory of enterprise data management over the last two decades has been defined by a progression from rigid structure to flexible volume, Read More …
Introduction: The Dichotomy of Modern AI Acceleration The field of artificial intelligence is defined by a fundamental conflict: an insatiable, exponentially growing demand for computational power clashing with the physical Read More …