Large Scale Architectures: A Review of the Architecture of Generative AI

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Issue 8.2

Daniel Koehler

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This review explores the architecture and implications of Generative Artificial Intelligence (AI), focusing on large language models (LLMs). It also discusses analogies between the workings of these models and the operations architects employ when designing, namely spatial association, analogy, and harnessing ambiguity. This review offers an optimistic perspective on the architecture of LLMs and their transformative potential while outlining some limitations.

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