Sign-In
Cart
Advanced Concepts in Transformers for Deep Learning
Hardcover
General ComputersProbability & Statistics
ISBN13: 9783032292797
Publisher: Springer
Published: Feb 24 2027
Pages: 372
Language: English
Advanced Concepts in Transformers for Deep Learning goes beyond explaining what transformer architectures do to reveal why they work and how to extend them for modern applications in large language models (LLMs), generative AI, and deep learning. It is written for researchers and machine learning engineers who have outgrown introductory treatments and need rigorous mathematical and implementation-level understanding of advanced AI.
The book develops genuine mathematical fluency across the full transformer neural network landscape, including rigorous derivations of attention mechanisms, positional encodings, state space models such as mamba, recent architectures such as mixture-of-experts, alongside concrete implementations that connect theory directly to practice in modern deep learning.
It spans efficient, sparse, and scalable attention mechanisms for large language models, as well as vision and multimodal transformers, graph neural networks, speech architectures, and natural language processing (NLP) including pre-trained language models and sequence-to-sequence models. It also covers modern generative AI techniques, including parameter-efficient fine-tuning, retrieval-augmented generation (RAG), multi-agent systems, tool-augmented LLMs, hybrid Transformer-SSM architectures, speculative decoding, and FlashAttention-based optimizations.
Advanced optimization techniques are treated in depth, including adaptive optimizers, learning rate scheduling, gradient clipping, and regularization strategies for stable deep learning training. These are presented alongside large-scale distributed training systems for LLMs, including data, model, pipeline, tensor, and context parallelism, as well as production frameworks such as DeepSpeed and Fully Sharded Data Parallel (FSDP).
Inference and deployment of large language models are covered with equal rigor, including quantization, KV-cache optimization, continuous batching, memory-efficient decoding strategies, paged attention, and disaggregated prefill-decode architectures. These techniques are essential for building scalable, low-latency AI systems and LLM inference pipelines.
The book also addresses alignment and reinforcement learning for large language models, including reinforcement learning from human feedback (RLHF), Direct Preference Optimization (DPO), and Constitutional AI, along with advanced prompt engineering frameworks such as chain-of-thought and tree-of-thought reasoning for improving LLM performance and controllability.
Interpretability, robustness, safety, and ethical alignment are treated as core design principles throughout, rather than isolated topics, reflecting the requirements of modern responsible AI systems and foundation model development. Hands-on chapters guide readers from scratch implementations of transformer components through case studies, bridging theory and hands-on development.
A working knowledge of deep learning fundamentals and basic transformers is assumed. Whether designing new transformer architectures, building large language models, or deploying generative AI systems at scale, this book serves as a rigorous, comprehensive reference for advanced practitioners in machine learning engineering and AI research.
Also in
General Computers
All Data Are Local: Thinking Critically in a Data-Driven Society
Loukissas, Yanni Alexander
Paperback
Comptia Network+ Certmike: Prepare. Practice. Pass the Test! Get Certified!: Exam N10-008
Zacker, Craig
Chapple, Mike
Paperback
Interactive Theorem Proving and Program Development: Coq'art: The Calculus of Inductive Constructions
Bertot, Yves
Castéran, Pierre
Hardcover
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Grolemund, Garrett
Wickham, Hadley
Paperback
The Reverse Centaur's Guide to Life After AI: How to Think about Artificial Intelligence--Before It's Too Late
Doctorow, Cory
Paperback
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Riccomini, Chris
Kleppmann, Martin
Paperback
The Agi Chronicles: The Inside Story of the Race to Create an Artificial Superintelligence
Roose, Kevin
Hardcover
The Year in Tech, 2027: The Insights You Need from Harvard Business Review
Chamorro-Premuzic, Tomas
Review, Harvard Business
Davenport, Thomas H.
Paperback
If Anyone Builds It, Everyone Dies: Why Superhuman AI Would Kill Us All
Soares, Nate
Yudkowsky, Eliezer
Hardcover
AI for Good: How Real People Are Using Artificial Intelligence to Fix Things That Matter
Tyrangiel, Josh
Hardcover
Human Raised: Nurturing Connection, Curiosity & Lifelong Learning in the Age of AI
Suskind, Dana, MD
Hardcover
The Eureka Machine: Why AI Is the Key to Unlocking a New Era of Scientific Discoveries
Socher, Richard
Hardcover
Hbr's 10 Must Reads on AI (with Bonus Article How to Win with Machine Learning by Ajay Agrawal, Joshua Gans, and AVI Goldfarb)
Iansiti, Marco
Review, Harvard Business
Davenport, Thomas H.
Paperback
The Year in Tech, 2026: The Insights You Need from Harvard Business Review
Anthony, Scott D.
Webb, Amy
Review, Harvard Business
Paperback
The AI Con: How to Fight Big Tech's Hype and Create the Future We Want
Bender, Emily M.
Hanna, Alex
Hardcover
CompTIA Network+ Certification All-in-One Exam Guide, Ninth Edition (Exam N10-009)
Weissman, Jonathan S.
Paperback
Fans First: Change The Game, Break the Rules & Create an Unforgettable Experience
Cole, Jesse
Paperback
Generative Ai: The Insights You Need from Harvard Business Review
Review, Harvard Business
Mollick, Ethan
Cremer, David De
Paperback
A Giant Leap: How AI Is Transforming Healthcare and What That Means for Our Future
Wachter, Robert
Hardcover
AI Literacy in Any Class: Preparing Students to Thrive in an AI Future in Any Grade Level or Content Area
Miller, Matt
Paperback
Obsolete: The AI Industry's Trillion Dollar Race to Replace Us--And How to Stop It
Lovely, Garrison
Paperback
Fundamentals of Data Engineering: Plan and Build Robust Data Systems
Housley, Matt
Reis, Joe
Paperback
Minecraft: Guide Collection 4-Book Boxed Set (Updated): Survival (Updated), Creative (Updated), Redstone (Updated), Combat
Mojang Ab
The Official Minecraft Team
Hardcover
Love Machines: How Artificial Intelligence Is Transforming Our Relationships
Muldoon, James
Hardcover
Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence
Crawford, Kate
Paperback
AI Snake Oil: What Artificial Intelligence Can Do, What It Can't, and How to Tell the Difference
Narayanan, Arvind
Kapoor, Sayash
Paperback
AI with Intention: Principles and Action Steps for Teachers and School Leaders
Frontier, Tony
Paperback
Python Crash Course, 3rd Edition: A Hands-On, Project-Based Introduction to Programming
Matthes, Eric
Paperback
AP Computer Science Principles Premium, 2027: 6 Practice Tests + Comprehensive Review + Online Practice
Reichelson, Seth
Paperback
An Illustrated Guide to AI Agents: Concepts and Code for Building Agents with Llms, Tools, and Memory
Grootendorst, Maarten
Alammar, Jay
Paperback
The Black Swan: Second Edition: The Impact of the Highly Improbable: With a New Section: On Robustness and Fragility
Taleb, Nassim Nicholas
Paperback
The Thinking Machine: Jensen Huang, Nvidia, and the World's Most Coveted Microchip
Witt, Stephen
Hardcover
Hands-On Machine Learning with Scikit-Learn and Pytorch: Concepts, Tools, and Techniques to Build Intelligent Systems
Géron, Aurélien
Paperback
We Are as Gods: A Survival Guide for the Age of Abundance
Kotler, Steven
Diamandis, Peter H.
Hardcover
Hbr's 10 Must Reads on Artificial Intelligence, Updated and Expanded (Featuring How AI Can Help Managers Think Through Problems by Elisa Farri and Gab
Davenport, Thomas H.
Agrawal, Ajay
Review, Harvard Business
Paperback
Embedded Systems with ARM Cortex-M Microcontrollers in Assembly Language and C: Fourth Edition
Zhu, Yifeng
Paperback
CompTIA Tech+ Certification All-in-One Exam Guide, Third Edition (Exam FC0-U71)
Wempen, Faithe
Paperback
Artificial Intelligence: A Guide for Thinking Humans (with a New Preface)
Mitchell, Melanie
Paperback
AP Computer Science a Premium, 13th Edition: Prep Book with 6 Practice Tests + Comprehensive Review + Online Practice (2026)
Teukolsky, Roselyn, M. S.
Carman, Chris
Paperback
Human + Machine, Updated and Expanded: Reimagining Work in the Age of AI
Daugherty, Paul R.
Wilson, H. James
Hardcover
Hands-On Large Language Models: Language Understanding and Generation
Grootendorst, Maarten
Alammar, Jay
Paperback
The Empty Center: Permission, Connection, and What We Build When the Future is Uncertain
Drumwright, Hayes
Hardcover
Power and Prediction: The Disruptive Economics of Artificial Intelligence
Goldfarb, Avi
Agrawal, Ajay
Gans, Joshua
Hardcover
Fundamentals of Software Architecture: A Modern Engineering Approach
Ford, Neal
Richards, Mark
Paperback
The Problem with Personalization: How Advertisers Learned to Make and Break Us from Ancient Times to the AI Age
Turow, Joseph
Hardcover
Guilty Pleasure: The Pornification of the Internet, the Economy, and Everything Else
Nilsson, Patricia
Hardcover
AI Projects with Raspberry Pi: High-Performance Artificial Intelligence for Robotics, Security, Home Automation, and Vision
Jepson, Brian
Hattersley, Lucy
Paperback
Minecraft: Exploded Builds: Medieval Fortress: An Official Mojang Book
Mojang Ab
The Official Minecraft Team
Paperback
Tubes: A Journey to the Center of the Internet with a New Introduction by the Author
Blum, Andrew
Paperback
RHCSA Red Hat Enterprise Linux 10: Training and Exam Preparation Guide (EX200), Fourth Edition
Ghori, Asghar
Paperback
The Empty Center: Permission, Connection, and What We Build When the Future is Uncertain
Drumwright, Hayes
Paperback
You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It's Making the World a Weirder Place
Shane, Janelle
Paperback
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
Huyen, Chip
Paperback
The Coming Wave: Technology, Power, and the Twenty-First Century's Greatest Dilemma
Suleyman, Mustafa
Hardcover
AI Snake Oil: What Artificial Intelligence Can Do, What It Can't, and How to Tell the Difference
Narayanan, Arvind
Kapoor, Sayash
Hardcover
Artificial Intelligence All-In-One for Dummies
Massaron, Luca
Minnick, Chris
Mueller, John Paul
Paperback
The Return on AI: From Promise to Profit in the Age of Intelligent Business
Sawhney, Mohanbir
Mittal, Ashwin
Paperback
Graphic Artists Guild Handbook, 17th Edition: Pricing & Ethical Guidelines
The Graphic Artists Guild
Paperback
The Devops Handbook, 2nd Edition: How to Create World-Class Agility, Reliability, & Security in Technology Organizations
Kim, Gene
Humble, Jez
Debois, Patrick
Paperback
The Death of Expertise: The Campaign Against Established Knowledge and Why It Matters
Nichols, Tom
Paperback
Minecraft: Roll for Adventure: The Temple of the Charged Creeper
Forbeck, Matt
Forbeck, Marty
Hardcover
Navigeren door het labyrint: Een handleiding voor het beheer van data
Sebastian-Coleman, Laura
Paperback
Comptia A+ Complete Study Guide, 2-Volume Set: Volume 1 Core 1 Exam 220-1201 and Volume 2 Core 2 Exam 220-1202
Buhagiar, Jon
Docter, Quentin
Paperback
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Wickham, Hadley
Grolemund, Garrett
Cetinkaya-Rundel, Mine
Paperback
Microsoft 365 Excel All-In-One for Dummies
Ringstrom, David H.
Alexander, Michael
Kusleika, Dick
Paperback
AI for Educators: Learning Strategies, Teacher Efficiencies, and a Vision for an Artificial Intelligence Future
Miller, Matt
Paperback
What Is Intelligence?: Lessons from AI about Evolution, Computing, and Minds
Aguera Y. Arcas, Blaise
Paperback
Building Applications with AI Agents: Designing and Implementing Multiagent Systems
Albada, Michael
Paperback
Cloud Finops: Collaborative, Real-Time Cloud Value Decision Making
Storment, J. R.
Fuller, Mike
Paperback