Generative AI and RAG for beginners: A Practical Guide to Understanding Large Language Models, Retrieval-Augmented Generation, and Building Reliable A

Name: Generative AI and RAG for beginners: A Practical Guide to Understanding Large Language Models, Retrieval-Augmented Generation, and Building Reliable A
Brand: Independently Published
SKU: 9798261865483
Price: 1694.0 INR
Availability: InStock

by Liam Aldridge

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ISBN13: 9798261865483
Binding: Paperback
Subject: N/A
Publisher: Independently Published
Publisher Imprint: Independently Published
Publication Date: December 17, 2025
Pages: 266
Original Price: USD 18.89
Language: English
Edition: N/A
Item Weight: 359 grams
BISAC Subject(s): Artificial Intelligence / Generative AI

About The Book

What if the most powerful AI systems in the world are not magic, not intelligent, and not mysterious at all?

What you are about to discover will change how you see language models, accuracy, and responsibility forever.

Generative AI is everywhere. It writes, summarizes, answers, recommends, and advises. Yet most people using it do not truly understand how it works, why it fails, or how to design systems that can actually be trusted.

This book exists to close that gap.

Generative AI and RAG for Beginners is a clear, grounded, and practical guide to understanding large language models and retrieval-augmented generation without hype, fear, or false promises. Instead of treating AI as a black box, this book reveals the hidden mechanics behind fluent text, confident mistakes, hallucinations, and system-level accuracy.

Few people know that most AI failures are not model problems, but design problems. This book shows you exactly why and how to fix them.

Inside, you will discover:

The hidden truth behind how language models actually generate text
Why prompts work sometimes and fail unexpectedly at other times
What retrieval-augmented generation really does and what it does not
How tokens, context windows, and probability shape every output
Why fluent answers are cheap and accuracy is expensive
How to reduce hallucinations without blindly trusting AI
Real-world system patterns that prioritize reliability and responsibility

Why this book matters:

As AI moves into education, business, research, and decision-making, misunderstanding its limits becomes dangerous. This book replaces myths with mental models you can actually use.

Who this book is for:

Developers, product managers, business professionals, students, researchers, and curious readers who want to work with AI responsibly, not just experiment with it.

When this knowledge is most relevant:

Right now. As AI systems become more widespread, understanding how to design, evaluate, and control them has never been more critical.

This is not a hype book. It is a clarity book.

Ready to uncover the truth behind generative AI and build systems you can trust?

Get your copy today and start seeing AI with clarity, not illusion.

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