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1. Executive Synthesis: The Interplay of Memory, Mechanism, and Measurement The contemporary field of generative artificial intelligence is defined by a fundamental conflict. On one side, market and enterprise demands Read More …
1.0 The Paradigm Shift: From Recurrence to Parallel Self-Attention Prior to 2017, the field of sequence modeling and transduction was dominated by complex recurrent neural networks (RNNs), specifically Long Short-Term Read More …
The Tyranny of Quadratic Complexity: Deconstructing the Transformer Inference Bottleneck The Transformer architecture has become the de facto standard for state-of-the-art models across numerous domains, from natural language processing to Read More …
Executive Summary The capacity of Large Language Models (LLMs) to process and reason over extensive sequences of information—a capability defined by their “context window”—has become a pivotal frontier in artificial Read More …
The Foundation: The KV Cache as a Double-Edged Sword The advent of Large Language Models (LLMs) based on the Transformer architecture has catalyzed a paradigm shift in artificial intelligence. Central Read More …