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Large Language Models: How They Work And Why They Matter

Large Language Models: How They Work And Why They Matter

Paperback

General Computers

ISBN13: 9798993314013
Publisher: Semanticvectors Publishing
Published: Nov 1 2025
Pages: 262
Weight: 0.78
Height: 0.55 Width: 6.00 Depth: 9.00
Language: English
Large Language Models (LLMs) are transforming science, technology, and business - faster than any innovation we've known. They generate text, write code, summarize knowledge, and even help scientists make new discoveries. But what are they really doing? Have we built something that can think? And what will happen as their energy needs and influence continue to grow?

This book offers a clear, accessible explanation of how LLMs work and how they came to be. It traces the surprising lineage of language modeling - from statistical experiments in the 1940s and search engines of the 1960s, to the neural networks and GPUs that made today's AI revolution possible.

Written for a broad audience of scientists, technologists, business leaders, and curious readers, it connects the dots between ideas, algorithms, and engineering breakthroughs - showing how a few simple components can scale to systems that understand and generate language at human-like levels.

The authors, Dominic Widdows and Trevor Cohen, have worked in natural language processing since the early 2000s. Collaborators since 2009 on the SemanticVectors project - an open-source tool for building early word embeddings - they have published extensively in AI, biomedical informatics, and quantum computing, with experience at Google, Microsoft, and leading universities including Stanford, Oxford, Columbia, and the University of Washington.

This book will give you the conceptual foundation to see beyond the hype and into the heart of how large language models work, and what this may mean for humanity.


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