SOURCE-LINKED INTELLIGENCE
The Life of a Token: from Words to Bits on the Wire
Large Language Models (LLMs) transform vast collections of unstructured text into semantic patterns used for language generation and reasoning tasks. Behind their ease of use lies a complex process: words become tokens, tokens become vectors, and vectors ultimately give rise to streams of bits that flow through High-Performance Computing (HPC) systems. As modern LLMs grow to billions or trillions of parameters, this path increasingly unfolds across thousands of interconnected accelerators, making the underlying communication fabric a critical and often opaque component of model training. This
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-17T09:03:32.000Z
First collected: 2026-09-19T20:28:21.856Z. This is not the publication date.