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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 …
Section 1: The Paradigm Shift: From Monolithic Models to Dynamic, Heterogeneous LLM Ecosystems 1.1 Deconstructing the Monolithic Model Fallacy: Cost, Latency, and Performance Bottlenecks The rapid proliferation and adoption 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 …
Executive Summary The landscape of large language models (LLMs) is currently defined by an intense competitive escalation, often termed the “Context Window Arms Race.” This trend, marked by the exponential Read More …
Section 1: The Quadratic Wall – Deconstructing the Scaling Limits of Self-Attention The remarkable success of Transformer architectures across a spectrum of artificial intelligence domains is rooted in the self-attention Read More …