The feel-good place to buy books
The Journey of Large Language Models and Retrieval-Augmented Generation Systems by Deepshikha Bhati
This book presents a comprehensive and accessible guide to today’s most influential artificial intelligence (AI) models including GPT, LLaMA, Gemini, Claude, Falcon, DeepSeek, Qwen, Grok, and modern Retrieval-Augmented Generation (RAG) systems. Large language models (LLMs) are advanced computer programs that can understand and generate human language, and they power everyday tools such as chatbots, search engines, translation apps, and writing assistants. However, most people use these systems without knowing how they work or why different models behave differently. This book explains, in simple and clear terms, the inner machinery behind modern AI models—how they are built, trained, and improved, so that readers can better understand the technology shaping education, business, healthcare, and everyday communication. Through clear explanations, diagrams, and real-world examples, the authors demystify how these models are designed, trained, evaluated, and deployed across text, image, audio, and multimodal tasks. Ideal for students, educators, developers, and AI enthusiasts, this book bridges the gap between cutting-edge research and practical understanding, offering an essential roadmap to the rapidly evolving world of generative AI.
-
Science Fiction Prototyping
-
The Promise and Peril of AI
-
On Raising a Digital Human
-
Building Ethical and Secure AI
-
Integration of AI Theory and Applications in Diverse Industries
-
Neural Symbolic Knowledge Graph Reasoning
-
Metareasoning for Robots
-
Influence Models in Group Decision-Making
-
Smart City Standardization
-
Graph Mining
-
Analytical Performance Modeling for Computer Systems, Third Edition
-
Storing Clocked Programs Inside DNA
-
Blockchain Platforms
-
Automated Verification of Concurrent Search Structures
-
Introduction to Logic, Third Edition
-
An Introduction to Programming Languages: Simultaneous Learning in Multiple Coding Environments
-
Introduction to Logic
-
Societal Impacts of Artificial Intelligence and Machine Learning
-
Advances in Human Activity Detection and Recognition (HADR) Systems
-
Coding Examples from Simple to Complex
-
Transforming Healthcare with Artificial Intelligence
-
A Beginner's Guide to Generative AI
-
Human-Centric AI with Common Sense
-
Safe Autonomy with Control Barrier Functions
-
Creating Autonomous Vehicle Systems, Second Edition
-
Principles of Blockchain Systems
| SKU | Unavailable |
| ISBN 13 | 9783032307248 |
| ISBN 10 | 3032307244 |
| Title | The Journey of Large Language Models and Retrieval-Augmented Generation Systems |
| Author | Deepshikha Bhati |
| Series | Synthesis Lectures On Computer Science |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer Nature Switzerland AG |
| Year published | 2026-11-01 |
| Number of pages | 328 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |

























