Train Your Own LLM: A Friendly, Practical Guide to How AI Language Models Work, and How to Fine-Tune and Build One Yourself
English | October 11, 2026 | ASIN: B0HMPBV3B6 | 1132 pages | Epub | 18.34 MB
Train, evaluate, and ship your own language model. This friendly, practical guide follows one story from start to finish: building a model from its tokenizer all the way to a deployed assistant. Along the way you learn how large language models really work, without hand-waving, and you build each piece yourself.You will learn to understand tokens, embeddings, attention, and training loops in plain language; fine-tune and preference-tune models with tested LoRA recipes; evaluate with scorecards, messy real-world tests, and honest confidence intervals; and deploy on your own machine and to the world with Ollama, LM Studio, llama.cpp, Gradio, Docker, and cloud endpoints. Launch-day chapters cover guardrails, retrieval-augmented generation (RAG), logging, and a red-team checklist, and capstone projects include a message classifier, a style-matched writing helper, a tiny chess model, and a model that runs offline on a laptop or phone.Written for curious beginners and working builders alike, with illustrations, quizzes, toolkit tables, and an answer key, it gives you numbers you can trust and a model that actually goes live.
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