How to Build and Fine-Tune a Small Language Model by Paul Liu (.ePUB)+
File Size: 10 MB
How to Build and Fine-Tune a Small Language Model: A Step-by-Step Guide for Beginners, Researchers, and Non-Programmers by Paul Liu
Requirements: .ePUB, .PDF reader, 10 MB | True PDF, True EPUB
Overview: This hands-on guide shows you how to build and fine-tune your own small language model—from scratch—using accessible tools like Google Colab. Learn transformers step-by-step, train and align models on your own data, and deploy practical AI systems that run on consumer GPUs. How to Build and Fine-Tune a Small Language Model is a practical, end-to-end guide for anyone who wants to move from AI user to AI builder. Based on real graduate courses, research workshops, and industry bootcamps, this book shows that you don’t need billion-dollar infrastructure to create powerful AI systems—you only need a laptop, curiosity, and the right roadmap. All code is provided as Google Colab notebooks, allowing readers to click, run, and learn without installation or expensive hardware. By the end, readers will know how to build, train, align, and deploy small language models (125M–350M parameters) with confidence—and more importantly, will understand the trade-offs behind practical AI systems and how to choose the right design for their needs. This is not a research monograph—it is a builder’s manual. A clear, hands-on path for beginners, researchers, and non-programmers who want to bring AI to their own domain.
Genre: Non-Fiction > Tech & Devices
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