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Key benefits

Gain in-depth insight into LLMs, from architecture through to deployment

Learn through practical insights into real-world case studies and optimization techniques

Get a detailed overview of the AI landscape to tackle a wide variety of AI and NLP challenges

Purchase of the print or Kindle book includes a free PDF eBook

Description

Ever wondered how large language models (LLMs) work and how they're shaping the future of artificial intelligence? Written by a renowned author and AI, AR, and data expert, Decoding Large Language Models is a combination of deep technical insights and practical use cases that not only demystifies complex AI concepts, but also guides you through the implementation and optimization of LLMs for real-world applications. You’ll learn about the structure of LLMs, how they're developed, and how to utilize them in various ways. The chapters will help you explore strategies for improving these models and testing them to ensure effective deployment. Packed with real-life examples, this book covers ethical considerations, offering a balanced perspective on their societal impact. You’ll be able to leverage and fine-tune LLMs for optimal performance with the help of detailed explanations. You’ll also master techniques for training, deploying, and scaling models to be able to overcome complex data challenges with confidence and precision. This book will prepare you for future challenges in the ever-evolving fields of AI and NLP. By the end of this book, you’ll have gained a solid understanding of the architecture, development, applications, and ethical use of LLMs and be up to date with emerging trends, such as GPT-5.

Who is this book for?

If you’re a technical leader working in NLP, an AI researcher, or a software developer interested in building AI-powered applications, this book is for you. To get the most out of this book, you should have a foundational understanding of machine learning principles; proficiency in a programming language such as Python; knowledge of algebra and statistics; and familiarity with natural language processing basics.

What you will learn

Explore the architecture and components of contemporary LLMs

Examine how LLMs reach decisions and navigate their decision-making process

Implement and oversee LLMs effectively within your organization

Master dataset preparation and the training process for LLMs

Hone your skills in fine-tuning LLMs for targeted NLP tasks

Formulate strategies for the thorough testing and evaluation of LLMs

Discover the challenges associated with deploying LLMs in production environments

Develop effective strategies for integrating LLMs into existing systems

What do you get with Print?

Instant access to your digital copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Redeem a companion digital copy on all Print orders

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

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Paul Pollock Nov 02, 2024

Decoding Large Language Models by Irena Cronin is an outstanding resource for both newcomers and seasoned professionals in the field of NLP and AI. This book offers a thorough journey through the architecture, training, and application of large language models (LLMs), blending complex concepts with accessible language and practical examples.What sets this guide apart is its balanced approach: it covers the foundational theories behind transformers and neural networks, but also delves into advanced topics like fine-tuning, optimization techniques, and ethical considerations. Each chapter is thoughtfully structured, with real-world case studies that make the technical details relevant and engaging. The sections on deployment strategies and future trends (like GPT-5) provide a forward-thinking perspective that is invaluable in a field that's evolving so rapidly.I highly recommend Decoding Large Language Models for anyone eager to master LLMs or better understand the powerful technology shaping the future of human-computer interaction. Whether you're building AI-driven applications, researching AI ethics, or simply curious about how these models work, this book is an essential read.

Amazon Verified review

Om S Nov 29, 2024

As an AI engineer, I often wondered how large language models like GPT work under the hood. When I started reading Decoding Large Language Models, it was like having a mentor walk me through every step—from how these models are structured to how they’re trained, fine-tuned, and deployed. The practical tips on testing, optimization, and real-world case studies gave me clear, actionable insights to apply directly to my projects. What stood out most were the chapters on ethical considerations and preparing for future advancements like GPT-5. This book not only deepened my understanding but also made me confident in using LLMs effectively in production—it’s a must-read if you want to truly master the magic of AI. Read more

Pierrre Jan 06, 2025

Zero illustration, no concrete information. Has a full section about fine tuning LLMs without explaining what Lora and PEFT are, but instead covers in that very section the need for interoperability.

Subscriber review

Decoding Large Language Models: An exhaustive guide to understanding, implementing, and optimizing LLMs for NLP applications

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