Articoli correlati a Domain-Specific Small Language Models: Efficient Ai...
Sinossi
Bigger isn’t always better. Train and tune highly focused language models optimized for domain specific tasks.
When 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. Domain-Specific Small Language Models teaches you to build generative AI models optimized for specific fields.
In Domain-Specific Small Language Models you’ll discover:
• Model sizing best practices
• Open source libraries, frameworks, utilities and runtimes
• Fine-tuning techniques for custom datasets
• Hugging Face’s libraries for SLMs
• Running SLMs on commodity hardware
• Model optimization or quantization
Perfect for cost- or hardware-constrained environments, Small Language Models (SLMs) train on domain specific data for high-quality results in specific tasks. In Domain-Specific Small Language Models you’ll develop SLMs that can generate everything from Python code to protein structures and antibody sequences—all on commodity hardware.
About the book
Domain-Specific Small Language Models teaches you how to create language models that deliver the power of LLMs for specific areas of knowledge. It provides a practical, application-focused counterpart to foundational texts like Sebastian Raschka’s Build a Large Language Model (From Scratch), showing you how to adapt large-scale concepts for efficient, specialized use. You’ll learn to minimize the computational horsepower your models require, while keeping high–quality performance times and output. You’ll appreciate the clear explanations of complex technical concepts alongside working code samples you can run and replicate on your laptop. Plus, you’ll learn to develop and deliver RAG systems and AI agents that rely solely on SLMs, and without the costs of foundation model access.
About the reader
For machine learning engineers familiar with Python.
About the author
Guglielmo Iozzia is a Director, ML/AI and Applied Mathematics at MSD. He studied Electronic and Biomedical Engineering at the University of Bologna, has an extensive background in Software and ML/AI Engineering applied to real-life use cases across different industries, such as Biotech Manufacturing, Healthcare, Cloud Operations, and Cyber Security.
Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sull'autore
Guglielmo Iozzia is a Director, ML/AI and Applied Mathematics at MSD. He studied Electronic and Biomedical Engineering at the University of Bologna, has an extensive background in Software and ML/AI Engineering applied to real-life use cases across different industries, such as Biotech Manufacturing, Healthcare, Cloud Operations, and Cyber Security.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Risultati della ricerca per Domain-Specific Small Language Models: Efficient Ai...
Foto dell'editore
Domain-Specific Small Language Models
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
Valutazione del venditore 5 su 5 stelle
HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo PB-9781633436701
Compra nuovo
EUR 47,10
Spedizione EUR 7,04
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: 15 disponibili
Immagini fornite dal venditore
Domain-Specific Small Language Models: Efficient AI for Local Deployment (Paperback or Softback)
Editore:
Manning Publications 5/26/2026, 2026
ISBN 10: 1633436705
ISBN 13: 9781633436701
Nuovo
Paperback or Softback
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback or Softback. Condizione: New. Domain-Specific Small Language Models: Efficient AI for Local Deployment. Book. Codice articolo BBS-9781633436701
Compra nuovo
EUR 58,61
Spedizione gratuita
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: 1 disponibili
Foto dell'editore
Domain-Specific Small Language Models: Efficient AI for local deployment
Da: Brook Bookstore On Demand, Napoli, NA, Italia
Valutazione del venditore 5 su 5 stelle
Condizione: new. Codice articolo VQGPVJITRN
Compra nuovo
EUR 53,33
Spedizione EUR 6,80
Spedito da Italia a U.S.A.
Spedito da Italia a U.S.A.
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Domain-Specific Small Language Models
Editore:
Manning Publications, US, 2026
ISBN 10: 1633436705
ISBN 13: 9781633436701
Nuovo
Rilegato
Prima edizione
Da: Rarewaves.com USA, London, LONDO, Regno Unito
Valutazione del venditore 5 su 5 stelle
Hardback. Condizione: New. 1st. Want LLM power without the LLM price tag? Crave models that fit your data, laptop, and budget? Stop renting GPUs you cannot afford. Start building Domain-Specific Small Language Models today. Own your AI stack, end to end. Model sizing best practices: pick the smallest architecture that still delivers top-tier accuracy. Open-source toolchain: leverage Hugging Face, PEFT, and quantization libraries for zero-license freedom. Fine-tuning workflows: adapt existing checkpoints to niche datasets in hours, not weeks. Commodity hardware deployment: run chat, code, or bio models locally on a single GPU or CPU. Retrieval-augmented generation: fuse SLMs with RAG pipelines for grounded, up-to-date answers. Cost-control checklists: slash cloud spends and eliminate dependency on expensive foundation APIs. Domain-Specific Small Language Models, by AI director Guglielmo Iozzia, is a field guide packed with runnable Python code and real-world engineering insight. Step-by-step chapters demystify transformer architecture, quantization, and PEFT fine-tuning, then walk you through building RAG systems and autonomous agents that rely solely on SLMs. Clear diagrams, annotated notebooks, and troubleshooting tips keep learning smooth. You will finish with reusable templates, deployment scripts, and the confidence to deliver performant language models under tight hardware and budget constraints. Perfect for Python-savvy machine-learning engineers, data scientists, and technical leads who need domain-tuned AI now. Codice articolo LU-9781633436701
Compra nuovo
EUR 60,64
Spedizione gratuita
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: 1 disponibili
Foto dell'editore
Domain-Specific Small Language Models
Da: Chiron Media, Wallingford, Regno Unito
Valutazione del venditore 5 su 5 stelle
paperback. Condizione: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely. Codice articolo 6666-GRD-9781633436701
Compra nuovo
EUR 53,66
Spedizione EUR 7,78
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: 5 disponibili
Foto dell'editore
Domain-Specific Small Language Models
Da: Books Puddle, Woodside, NY, U.S.A.
Valutazione del venditore 4 su 5 stelle
Condizione: New. Codice articolo 26404659739
Compra nuovo
EUR 61,28
Spedizione EUR 3,56
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: 4 disponibili
Foto dell'editore
Domain-Specific Small Language Models
Da: Majestic Books, Hounslow, Regno Unito
Valutazione del venditore 4 su 5 stelle
Condizione: New. Codice articolo 409543108
Compra nuovo
EUR 58,38
Spedizione EUR 7,79
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: 4 disponibili
Foto dell'editore
Domain-Specific Small Language Models (Hardcover)
Editore:
Manning Publications, New York, 2026
ISBN 10: 1633436705
ISBN 13: 9781633436701
Nuovo
Rilegato
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Hardcover. Condizione: new. Hardcover. Want LLM power without the LLM price tag? Crave models that fit your data, laptop, and budget? Stop renting GPUs you cannot afford. Start building Domain-Specific Small Language Models today. Own your AI stack, end to end. Model sizing best practices: pick the smallest architecture that still delivers top-tier accuracy. Open-source toolchain: leverage Hugging Face, PEFT, and quantization libraries for zero-license freedom. Fine-tuning workflows: adapt existing checkpoints to niche datasets in hours, not weeks. Commodity hardware deployment: run chat, code, or bio models locally on a single GPU or CPU. Retrieval-augmented generation: fuse SLMs with RAG pipelines for grounded, up-to-date answers. Cost-control checklists: slash cloud spends and eliminate dependency on expensive foundation APIs. Domain-Specific Small Language Models, by AI director Guglielmo Iozzia, is a field guide packed with runnable Python code and real-world engineering insight. Step-by-step chapters demystify transformer architecture, quantization, and PEFT fine-tuning, then walk you through building RAG systems and autonomous agents that rely solely on SLMs. Clear diagrams, annotated notebooks, and troubleshooting tips keep learning smooth. You will finish with reusable templates, deployment scripts, and the confidence to deliver performant language models under tight hardware and budget constraints. Perfect for Python-savvy machine-learning engineers, data scientists, and technical leads who need domain-tuned AI now. Perfect for cost- or hardware-constrained environments, Small Language Models (SLMs) train on domain specific data for high-quality results in specific tasks. In Domain-Specific Small Language Models youll develop SLMs that can generate everything from Python code to protein structures and antibody sequencesall on commodity hardware. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781633436701
Compra nuovo
EUR 66,21
Spedizione gratuita
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: 1 disponibili
Foto dell'editore
Domain-Specific Small Language Models
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
Valutazione del venditore 5 su 5 stelle
Hardback. Condizione: New. New copy - Usually dispatched within 2 working days. Codice articolo B9781633436701
Compra nuovo
EUR 50,14
Spedizione EUR 17,67
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: 3 disponibili
Foto dell'editore
Domain-Specific Small Language Models
Da: Biblios, Frankfurt am main, HESSE, Germania
Valutazione del venditore 4 su 5 stelle
Condizione: New. Codice articolo 18404659729
Compra nuovo
EUR 57,96
Spedizione EUR 9,95
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 4 disponibili