“How to Build and Fine‐Tune a Small Language Model: A Step-by-Step Guide for Beginners, Researchers, and Non-Programmers”

Available at http://amzn.to/4aV0amA

Build your own AI—without a PhD, expensive hardware, or industry-level resources. Whether you’re a beginner, a student, a scientist, or a domain expert, this book shows you how to create, train, fine-tune, and deploy Small Language Models (SLMs) that truly understand your field.

How to Build and Fine‐Tune a Small Language Model: A Step-by-Step Guide for Beginners, Researchers, and Non-Programmers: Liu, Paul: 9798274766227: Amazon.com: Books

Source: https://www.amazon.com/dp/B0G3MYWTJK?psc=1&pd_rd_i=B0G3MYWTJK&pd_rd_w=5Ne8h&content-id=amzn1.sym.6c90551e-661c-4342-b5cf-431d897dc288&pf_rd_p=6c90551e-661c-4342-b5cf-431d897dc288&pf_rd_r=YJ6T5RZJ2A8PHQP0RJM1&pd_rd_wg=aCAIi&pd_rd_r=9212af61-f828-4a0f-b2ca-ae817ea5ada1&sp_csd=d2lkZ2V0TmFtZT1zcF9kZXRhaWw&linkCode=sl2&tag=kirkdborne-20&linkId=bae39fb76c774c7ec3cc5ffe7dec28a2&language=en_US&ref_=as_li_ss_tl How to Build and Fine-Tune a Small Language Model

A Step-by-Step Guide for Beginners, Researchers, and Non-Programmers

Build your own AI—without a PhD, expensive hardware, or industry-level resources. Whether you’re a beginner, a student, a scientist, or a domain expert, this book shows you how to create, train, fine-tune, and deploySmall Language Models (SLMs)that truly understand your field.

Most AI books explainwhatmodels are. This one teaches you tobuild them. You’ll go from zero to a working GPT-style model, then learn how to fine-tune, align, evaluate, and deploy it for real applications.

🔥Why This Book Is Different

This is ahands-on builder’s manualdesigned for real beginners and practical users. Everything is tested through university courses, workshops, and real production deployments.

You will be able to:

• ✔ Build a GPT model from scratch
• ✔ Train real models using free/low-cost Google Colab
• ✔ Pretrain your own MiniMind SLM
• ✔ Fine-tune with Supervised FT
• ✔ Align with Direct Preference Optimization (DPO)
• ✔ Deploy models privately and efficiently

All chapters include ready-to-run Google Colab notebooks.

📚 Inside the Book

Part I – Foundations (Ch. 1–3)

• Why SLMs matter
• Build a complete GPT from scratch
• Fine-tune GPT-2 in under 30 minutes
• Learn tokenization, attention, batching, and training loops

Part II – Training from Scratch (Ch. 4–7)

• Prepare real datasets
• Configure architecture and size
• Train 125M–350M parameter models
• Evaluate with perplexity and benchmarks
• Troubleshoot training issues

Part III – MiniMind Pipeline (Ch. 8–10)

A modern 3-stage workflow:

• Pretraining
• Supervised Fine-Tuning (SFT)
• Direct Preference Optimization (DPO)

Part IV – Production & Ethics (Ch. 11–12)

• Quantization: INT8, 4-bit, GPTQ
• Deploy on Mac, PC, server, or cloud
• Cost breakdowns (from 0 to <50)
• Build three complete projects: - Medical Q&A Assistant - Code Documentation Generator - Multilingual Support Bot
• Learn safe and responsible deployment

🌟Who This Book Is For

Ideal for:

• Researchers and graduate students
• Domain specialists in law, medicine, geology, humanities, and business
• Developers and small business owners
• Beginners and non-programmers wanting hands-on AI
• Anyone wanting private, affordable, customizable AI

No CS degree required—code is clear, copy-and-run, and fully explained.

💡 What Makes This Book Unique

• ✨ Beginner-friendly and classroom-tested
• ✨ Fully practical with real datasets and runnable code
• ✨ Works on free Google Colab or inexpensive hardware
• ✨ Adaptable to any domain
• ✨ Includes deployment guides and cost calculators
• ✨ Covers the full pipeline: Build → Pretrain → Fine-Tune → Align → Deploy

⭐From the Author

This book grew from years of teaching students, researchers, and professionals who thought AI was out of reach.

🏁Ready to Build Your Own Model?

With step-by-step explanations and production-ready workflows, this book turns AI from a mysterious black box into something you can build, customize, and deploy yourself.

Begin your journey from AI user to AI builder today.