{"product_id":"domain-specific-small-language-models-efficient-ai-for-local-deployment-isbn-9781633436701","title":"Domain-Specific Small Language Models: Efficient AI for local deployment","description":"\u003cb\u003eGet the eBook free when you register your print book at Manning.\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eWhen you need a language model to respond accurately and quickly about a specific field of knowledge, the sprawling capacity of a LLM may hurt more than it helps. This book teaches you to build generative AI models optimized for specific fields.\u003cbr\u003e\u003cbr\u003ePerfect for cost- or hardware-constrained environments, Small Language Models (SLMs) train on domain specific data for high-quality results in specific tasks. In this book you’ll develop SLMs that can generate everything from Python code to protein structures and antibody sequences—all on commodity hardware.\u003cbr\u003e\u003cbr\u003eIn \u003ci\u003eDomain-Specific Small Language Models\u003c\/i\u003e you’ll discover:\u003cbr\u003e\u003cbr\u003e• Model sizing best practices\u003cbr\u003e• Open source libraries, frameworks, utilities and runtimes\u003cbr\u003e• Fine-tuning techniques for custom datasets\u003cbr\u003e• Hugging Face’s libraries for SLMs\u003cbr\u003e• Running SLMs on commodity hardware\u003cbr\u003e• Model optimization or quantization\u003cbr\u003e\u003cbr\u003eForeword by Matthew R. Versaggi.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the technology\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eSmall-footprint language models trained on custom data sets and hosted locally can perform as well as large generalist models in speed and accuracy, often at a fraction of the cost. \u003ci\u003eDomain-Specific Small Language Models\u003c\/i\u003e shows you how to build privacy-preserving and regulation-compliant SLMs for agentic systems, specialist applications, and deployment on the edge.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the book\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eThis is a practical book that shows you how to adapt pretrained open source models to your domain using transfer learning and parameter-efficient fine-tuning. You’ll learn to minimize cost through optimization and quantization, develop secure APIs to serve your models, and deploy SLMs on commodity hardware—including small devices. The hands-on examples include integrating SLMs into RAG systems and agentic workflows.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eWhat's inside\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e• ONNX and other quantization methods\u003cbr\u003e• Integrate SLMs into end-to-end applications\u003cbr\u003e• Deploy SLMs on laptops, smartphones, and other devices\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the reader\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eFor AI engineers familiar with Python.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the author\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eGuglielmo Iozzia\u003c\/b\u003e is a Director of AI and Applied Mathematics at Merck \u0026amp; Co. and a Distinguished Member of the American Society for Artificial Intelligence. He specializes in AI biomedical applications.\u003cbr\u003e\u003cbr\u003eThe technical editor on this book was \u003cb\u003eRiccardo Mattivi\u003c\/b\u003e.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003ePart 1\u003cbr\u003e1 Small language models\u003cbr\u003ePart 2\u003cbr\u003e2 Tuning for a specific domain\u003cbr\u003e3 End-to-end transformer fine-tuning\u003cbr\u003e4 Running inference\u003cbr\u003e5 Exploring ONNX\u003cbr\u003e6 Quantizing for your production environment\u003cbr\u003ePart 3\u003cbr\u003e7 Generating Python code\u003cbr\u003e8 Generating protein structures\u003cbr\u003ePart 4\u003cbr\u003e9 Advanced quantization techniques\u003cbr\u003e10 Profiling insights\u003cbr\u003e11 Deployment and serving\u003cbr\u003e12 Running on your laptop\u003cbr\u003e13 Creating end-to-end LLM applications\u003cbr\u003e14 Advanced components for LLM applications\u003cbr\u003e15 Test-time compute and small language models","brand":"Simon \u0026 Schuster","offers":[{"title":"Default Title","offer_id":48682881646821,"sku":"NP9781633436701","price":59.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/O_5c9b8194-8dae-492e-9f3b-b6a490f5f3a2.jpg?v=1775168814","url":"https:\/\/k12savings.com\/products\/domain-specific-small-language-models-efficient-ai-for-local-deployment-isbn-9781633436701","provider":"K12savings","version":"1.0","type":"link"}