MASTERING LLMS FINE-TUNING: A COMPLETE GUIDE TO FINE-TUNING LLMS, LORA/QLORA WORKFLOWS, DATASET ENGINEERING, AND BUILDING PRODUCTION-READY AI MODELS WITH PYTHON & PYTORCH - Couverture souple

Tech, Robertto

Couverture souple

ISBN 13 : 9798274928342

Editeur : Independently published, 2025

Synopsis

If you want to build custom LLMs that are faster, cheaper, smarter, and tailored for real business use cases — this is the book that shows you how.

The AI landscape is shifting fast. Companies no longer want generic chatbots — they want domain-specific, high-accuracy models fine-tuned for legal, medical, financial, engineering, and enterprise workflows. LLMs Fine-Tuning Mastery gives you everything you need to build these models with confidence.

This is the complete, practical handbook for engineers, data scientists, and AI builders who want to go beyond prompting and learn the engineering craft behind fine-tuning cutting-edge models using Python, PyTorch, Hugging Face Transformers, LoRA, QLoRA, and modern RAG pipelines.

Whether you’re building your first fine-tuned model or deploying a production-scale AI system, this book removes the guesswork and shows you exactly how to do it right.

Inside This Book, You Will Learn:
✔ How to Fine-Tune LLMs the Modern Way

SFT, instruction tuning, domain adaptation, alignment strategies, and continuous improvement loops.

✔ How to Use LoRA & QLoRA Like a Pro

Save 60–90% GPU memory while training models that match full fine-tuned performance.

✔ The Secrets of World-Class Dataset Engineering

Cleaning, labeling, deduplication, quality scoring, data augmentation, synthetic data generation, and dataset management at scale.

✔ How to Build Production-Ready RAG Systems

Improve grounding, retrieval precision, and model reliability with advanced evaluation and optimization strategies.

✔ Deployment & Scaling Without the Pain

Quantization, inference optimization, GPU/CPU trade-offs, batching, caching, Triton/FastAPI servers, and observability patterns used in modern AI infra.

✔ End-to-End Architectures Used by Top AI Teams

Concrete workflows for managing experiments, validation, fine-tuning lifecycles, and delivering real value to users.

Who This Book Is For

• AI/ML engineers who want to level up

• Developers upgrading from prompt engineering to real model engineering

• Data scientists breaking into LLM systems

• Tech founders building AI-driven products

• Anyone who wants to build custom models that actually perform in production

Why This Book Matters

Fine-tuning is the new competitive advantage.
Companies that master it will dominate their industries — because they can build models uniquely tailored to their data, their workflows, and their customers.

This book gives you the skills, patterns, and battle-tested best practices that real teams use to ship high-quality LLMs in the wild.

If you're serious about mastering this field, this is the guide you’ve been waiting for.

Détails de l'édition

• Éditeur: Independently published
• Date d'édition: 2025
• Langue: anglais
• ISBN 13: 9798274928342
• Reliure: Broché
• Nombre de pages: 231
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible