Small Language Models Unleashed: A Hands-On Guide to Building Efficient NLP Systems with Python and Advanced Techniques: Crafting Lightweight NLP Solutions with Python, Transformers, and Quantization - Couverture souple

Livre 2 sur 6: Agentic AI Engineering Series: Building Intelligent, Secure, and Scalable Systems

Solace, Andrew

 
9798265760272: Small Language Models Unleashed: A Hands-On Guide to Building Efficient NLP Systems with Python and Advanced Techniques: Crafting Lightweight NLP Solutions with Python, Transformers, and Quantization
Couverture souple
ISBN 13 : 9798265760272
Editeur : Independently published, 2025

Synopsis

Unlock the power of Small Language Models (SLMs) with Small Language Models Unleashed: A Hands-On Guide to Building Efficient NLP Systems with Python and Advanced Techniques by Andrew Solace. This comprehensive guide empowers developers, data scientists, and AI enthusiasts to create lightweight, high-performance NLP systems using Python, Transformers, and cutting-edge quantization techniques. Designed for practical application, this book navigates the full lifecycle of SLM development—from dataset preparation and fine-tuning with PEFT (LoRA, QLoRA, Adapters) to compression with GPTQ, AWQ, and 4-bit/8-bit quantization, and deployment on edge devices like Raspberry Pi, Jetson, and Android. With real-world use cases in summarization, classification, agents, and healthcare, this book provides actionable workflows, CI/CD strategies, and cost-saving techniques for local preprocessing. Packed with scripts, datasets, and troubleshooting tips, this is your ultimate resource for building fast, resource-efficient, and production-ready NLP solutions without relying on massive infrastructure. Whether you're a beginner with Python knowledge or an experienced practitioner, this book equips you to lead the AI revolution with agile, scalable, and portable language models.

About the Author

Andrew Solace is a seasoned AI practitioner and educator with a passion for making advanced NLP accessible to all. With years of experience in building efficient, scalable language models, Andrew combines practical expertise with clear, actionable guidance to help readers master Small Language Models.

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Éditeur
Independently published
Date d'édition
2025
Langue
anglais
ISBN 13 
9798265760272
Reliure
Broché
Nombre de pages
185
Coordonnées du fabricant
non disponible
Personne responsable
non disponible