{"product_id":"fine-tuning-llms-with-hugging-face-clear-complete-and-practical-techniques-for-data-scientists-and-engineers-to-adapt-large-language-models-with-tr-9798299427783","title":"Fine-Tuning LLMs with Hugging Face: Clear, Complete, and Practical Techniques for Data Scientists and Engineers to Adapt Large Language Models with Tr","description":"\u003cp\u003e • Author(s): Logan W. Allen\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • Subject: Computer Science and Information Technology, \u003cbr\u003e • BISAC: Natural Language Processing\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFine-Tuning LLMs with Hugging Face\u003c\/b\u003e\u003cbr\u003eClear, Complete, and Practical Techniques for Data Scientists and Engineers to Adapt Large Language Models with Transformers, LoRA, and Modern Workflows\u003c\/p\u003e\u003cp\u003eLarge Language Models (LLMs) like GPT, LLaMA, and Falcon are revolutionizing industries, but for most practitioners, the challenge is not just using them - it's adapting them to real-world tasks. Full fine-tuning is expensive, complex, and often impractical. That's where Hugging Face and parameter-efficient techniques like \u003cb\u003eLoRA\u003c\/b\u003e and \u003cb\u003eQLoRA\u003c\/b\u003e come in.\u003c\/p\u003e\u003cp\u003eThis book is your \u003cb\u003ecomplete, hands-on guide\u003c\/b\u003e to fine-tuning LLMs for tasks such as chatbots, summarization, classification, and domain adaptation. You'll learn how to prepare data, train efficiently on consumer GPUs, monitor performance, and deploy production-ready models - without requiring a supercomputer.\u003c\/p\u003e\u003cp\u003eInside, you'll discover: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003eWhy pretraining alone isn't enough, and how fine-tuning unlocks domain-specific intelligence.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eThe Hugging Face ecosystem - Transformers, Datasets, Tokenizers, Accelerate, PEFT - explained with real projects.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eStep-by-step workflows for fine-tuning with the Trainer API, LoRA, and QLoRA.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eHow to prepare and clean domain datasets (e.g., legal, medical, customer support).\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eScaling strategies: distributed training, mixed precision, and gradient checkpointing.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eDeployment options with Hugging Face Spaces, Inference API, ONNX, TensorRT, and FastAPI.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eResponsible AI practices: managing bias, hallucinations, safety filters, and monitoring models in production.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eAdvanced topics: multimodal fine-tuning (Whisper, CLIP, BLIP), retrieval-augmented generation (RAG), and adapter fusion.\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eWith practical examples, exercises, and production-oriented tips, this book transforms you from a \u003cb\u003emodel consumer\u003c\/b\u003e into a \u003cb\u003emodel adapter\u003c\/b\u003e - someone who can confidently fine-tune, optimize, and deploy LLMs at scale.\u003c\/p\u003e\u003cp\u003eWhether you're a data scientist, ML engineer, or AI enthusiast, this book gives you the tools to build models that are efficient, reliable, and tailored to your needs.\u003c\/p\u003e","brand":"Atlantic Books","offers":[{"title":"Paperback","offer_id":46333456351383,"sku":"9798299427783","price":1796.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798299427783.webp?v=1768669589","url":"https:\/\/atlanticbooks.com\/products\/fine-tuning-llms-with-hugging-face-clear-complete-and-practical-techniques-for-data-scientists-and-engineers-to-adapt-large-language-models-with-tr-9798299427783","provider":"Atlantic Books","version":"1.0","type":"link"}