Fine-Tuning LLMs with PyTorch and Hugging Face: Train, Customize, and Deploy Large Language Models — A Hands-On Guide for Developers and AI Practitioners - Tapa blanda

Fine-Tuning LLMs with PyTorch and Hugging Face (Paperback)

Paperback. Condición: new. Paperback. Fine-Tuning LLMs with PyTorch and Hugging FaceTrain, Customize, and Deploy Large Language Models - A Hands-On Guide for Developers and AI PractitionersIn the new era of open-weight AI, fine-tuning is no longer reserved for big tech. It's the developer's key to transforming powerful pretrained models into intelligent systems that understand your data, your tone, and your domain.Fine-Tuning LLMs with PyTorch and Hugging Face is the definitive, hands-on guide for developers, engineers, and AI enthusiasts who want to move beyond prompt engineering and start teaching models to think. Through real-world examples, clean code, and practical workflows, this book takes you from your first training run to deploying a production-ready model that performs like it was built in-house.You'll learn how to: Set up your fine-tuning environment using PyTorch and the Hugging Face ecosystemPrepare, tokenize, and curate datasets that truly shape model behaviorRun efficient fine-tuning using LoRA, QLoRA, and parameter-efficient methodsEvaluate models for accuracy, coherence, and bias - quantitatively and qualitativelyDeploy models with FastAPI, Gradio, and cloud or local infrastructureApply fine-tuning to specialized domains like finance, healthcare, and lawCompress and quantize models to run on low-memory devices without sacrificing qualityAutomate continuous learning pipelines and integrate retrieval systems (RAG) for real-world applicationsWhat makes this book different is its developer-first focus. You'll not only learn the how but the why behind each step - from understanding the transformer architecture to optimizing training loops for small GPUs. Each chapter reads like a real conversation between the model and the maker - bridging theory, experimentation, and production.By the final chapters, you'll see how fine-tuning reshapes your role from programmer to model designer. You'll understand why the future of AI isn't just about bigger models - it's about smarter adaptation.Whether you're training your first conversational model, building a retrieval-augmented assistant, or deploying a fine-tuned LLaMA on your laptop, this book is your step-by-step roadmap to mastering the craft of model customization and deployment.Perfect for: Developers - AI engineers - Machine learning enthusiasts - Applied researchers - Tech founders exploring domain-specific AI This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798273483422

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