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1. Introduction: The Interpretability Crisis and the High-Dimensional Mind The rapid ascent of Large Language Models (LLMs) has ushered in a distinct paradox in the field of artificial intelligence: as Read More …
1. Introduction: The Paradox of Overparameterization In the contemporary landscape of deep learning, a singular, pervasive dogma has dictated the design of neural architectures: scale is the primary driver of Read More …
Executive Summary The rapid ascendancy of Transformer-based Large Language Models (LLMs) has outpaced our theoretical understanding of their internal operations. While their behavioral capabilities are well-documented, the underlying computational mechanisms—the Read More …
1. Introduction: The Unreasonable Effectiveness of Overparameterization The theoretical understanding of deep neural networks has undergone a fundamental transformation over the last decade. Historically, statistical learning theory relied on concepts Read More …
1. Introduction: The Interpretability Crisis and the High-Dimensional Mind The rapid ascent of Large Language Models (LLMs) has ushered in a distinct paradox in the field of artificial intelligence: as Read More …
1. Introduction: The Paradox of Overparameterization In the contemporary landscape of deep learning, a singular, pervasive dogma has dictated the design of neural architectures: scale is the primary driver of Read More …
Executive Summary The rapid ascendancy of Transformer-based Large Language Models (LLMs) has outpaced our theoretical understanding of their internal operations. While their behavioral capabilities are well-documented, the underlying computational mechanisms—the Read More …
Section 1: The Challenge of Scale and the Parallelism Paradigms 1.1 The Memory and Compute Wall in Modern Deep Learning The field of deep learning, particularly in natural language processing Read More …
Section 1: The Principle and Genesis of Knowledge Distillation 1.1. The Imperative for Model Efficiency: Computational Constraints in Modern AI The field of artificial intelligence has witnessed remarkable progress, largely Read More …
Introduction: The Quest for Understanding in an Age of Opaque Intelligence The rapid ascent of artificial intelligence (AI) presents a central paradox of the 21st century: as our computational creations Read More …