Small Language Models Unleashed

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.