The Thermodynamics of Intelligence: A Comprehensive Analysis of Neural Quantization, Compression Methodologies, and the Fundamental Limits of Generative Models

1. Introduction: The Efficiency Paradox in the Era of Massive Scaling The trajectory of artificial intelligence in the mid-2020s is defined by a distinct and growing tension between capability and Read More …

The DeepSeek-V3 Mixture-of-Experts Revolution: Architectural Breakdown, Scaling Dynamics, and Computational Efficiency

1. Introduction: The Efficiency Frontier in Large Language Models The contemporary landscape of Artificial Intelligence has been defined by a relentless pursuit of scale, a trajectory codified by the “scaling Read More …

Dynamic Compute in Transformer Architectures: A Comprehensive Analysis of the Mixture of Depths Paradigm

Section 1: The Principle of Conditional Computation and the Genesis of Mixture of Depths The development of the Mixture of Depths (MoD) architecture represents a significant milestone in the ongoing Read More …