Building A large language model with Ai: A Practical Guide to Structuring LLM Systems from Scratch Using Reverse-Engineering Techniques

Author:   Philip Steph
Publisher:   Independently Published
ISBN:  

9798246060261


Pages:   174
Publication Date:   28 January 2026
Format:   Paperback
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Our Price $52.77 Quantity:  
Add to Cart

Share |

Building A large language model with Ai: A Practical Guide to Structuring LLM Systems from Scratch Using Reverse-Engineering Techniques


Overview

Artificial intelligence isn't magic. It's architecture. And this book shows you how to build it. Building A Large Language Model with AI is a hands-on, practical guide for developers, engineers, researchers, and ambitious learners who want to understand what's really happening under the hood of modern language models - and how to design their own systems from the ground up. Instead of treating large language models like mysterious black boxes, this book breaks them apart, studies how they work, and shows you how to reconstruct powerful LLM systems using smart reverse-engineering strategies and modern AI design principles. Whether your goal is to build smarter AI products, understand how generative systems are structured, or move from ""AI user"" to AI builder, this guide walks you through the full system-thinking approach behind today's most advanced language technologies. Inside, you'll learn how to: Understand the core building blocks behind large language models Design LLM system architectures that go beyond just training a model Structure data pipelines that feed intelligent AI systems Apply reverse-engineering techniques to analyze and replicate advanced AI behaviors Connect models with memory, tools, and external knowledge sources Optimize performance, scalability, and real-world usability Move from theory to deployable AI system design This is not just another machine learning theory book. It focuses on systems, not just models - showing how components like embeddings, vector databases, prompt pipelines, and reasoning layers work together to create intelligent behavior. Written in a clear, practical style, this book bridges the gap between academic AI concepts and real-world implementation, making it ideal for: Software engineers expanding into AI Machine learning practitioners who want deeper system knowledge Technical founders building AI-powered products Students preparing for the next generation of AI careers If you've ever wondered how large language models actually function at a systems level - and how you can build, structure, and refine your own - this book gives you the blueprint. The future of AI belongs to builders. This is your starting point.

Full Product Details

Author:   Philip Steph
Publisher:   Independently Published
Imprint:   Independently Published
Dimensions:   Width: 21.60cm , Height: 0.90cm , Length: 27.90cm
Weight:   0.417kg
ISBN:  

9798246060261


Pages:   174
Publication Date:   28 January 2026
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Reviews

Author Information

Tab Content 6

Author Website:  

Countries Available

All regions
Latest Reading Guide

RGFEB26

 

Shopping Cart
Your cart is empty
Shopping cart
Mailing List