Large Concept Models : The Architecture of Meaning: How AI Systems Are Learning to Think in Ideas, Not Words

Language: English

Published by Independently Published Mai 2026, 2026

9798199304528

Series: Book 2 of 17 - The AI Masterclass Series

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Softcover

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Neuware - What if the fundamental building block of modern AI is wrong For more than a decade, artificial intelligence has been built on tokens-small fragments of text that allow language models to predict what comes next. This approach has produced remarkable systems capable of writing, coding, translating, and reasoning. Yet despite their power, large language models still struggle with long-range coherence, multilingual consistency, deep reasoning, and the reliable representation of meaning.Large Concept Models explores a radically different path.Drawing from cutting-edge research and the groundbreaking Large Concept Model architecture introduced by Meta AI, this book examines how AI systems can move beyond token prediction and begin operating directly on concepts-the semantic units that carry meaning across languages, contexts, and modalities.Inside, you'll discover: - Why tokens are not the same as thoughts- The hidden limitations of next-token prediction- How modern language models actually represent knowledge- The rise of sentence embeddings and multilingual concept spaces- The SONAR architecture and concept-level reasoning- Diffusion models operating in semantic space- Hybrid LLM-LCM systems and future AI architectures- Implications for reasoning, memory, safety, and multimodal intelligence- The research frontier that may define the next generation of AIWritten for machine learning engineers, AI researchers, developers, technical leaders, and intellectually curious readers, this book combines rigorous technical analysis with accessible explanations to illuminate one of the most important architectural shifts in artificial intelligence.Whether Large Concept Models ultimately replace traditional language models or evolve alongside them, one question can no longer be ignored: Is the token really the right unit of thought This book provides the evidence, the architecture, and the argument.…

Seller Inventory # 9798199304528

Title
Large Concept Models : The Architecture of Meaning: How AI Systems Are Learning to Think in Ideas, Not Words
Author
Shivam Kumar Teli
Publisher
Independently Published Mai 2026
Publication year
2026
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 13
9798199304528
Item weight
473 grams
Dimensions
279x216x11 mm
Series
Book 2 of 17: The AI Masterclass Series

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

Item7 to 10 business days5 to 7 business days
First item£ 30.14£ 38.75
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