Small Language Models with PyTorch (Paperback)

Idioma: inglés

Editorial: Independently Published, 2026

9798180851215

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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail

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Vendedor de IberLibro desde 12 de octubre de 2005

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Paperback. From Neural Network Fundamentals to Building Real-World AI ApplicationsArtificial Intelligence is transforming the world but most developers only learn how to use AI models, not how to build them.Small Language Models with PyTorch is a practical, hands-on guide designed to help students, developers, researchers, and aspiring AI engineers master the foundations of modern Natural Language Processing by building language models completely from scratch. Rather than relying on black-box APIs or prebuilt frameworks, this book takes you deep into the inner workings of language models so you can truly understand how they function, how they are trained, and how they can be customized for real-world applications.Using the powerful PyTorch framework, this book walks you step-by-step through the entire lifecycle of creating Small Language Models (SLMs) from neural network fundamentals and tokenization to embeddings, attention mechanisms, Transformers, training pipelines, evaluation techniques, fine-tuning strategies, and deployment.Every chapter is designed with practical learning in mind. Complex concepts are broken down into clear explanations, intuitive analogies, visual diagrams, and hands-on coding exercises that make advanced AI topics approachable for beginners while still offering valuable depth for experienced developers and researchers.Inside this book, you will learn how to: Understand the mathematics and intuition behind neural networks and deep learningBuild tokenizers and vocabulary systems from scratchCreate embeddings and positional encoding systemsImplement self-attention and Transformer architectures using PyTorchTrain, evaluate, and optimize Small Language Models efficientlyFine-tune models for domain-specific NLP tasksBuild conversational AI and question-answering systemsReduce overfitting and improve model performanceDeploy trained models into real-world applicationsUnderstand the ethical implications, limitations, and societal impact of AI systemsThe book also includes a complete capstone project where you will build a fully functional domain-specific Question-Answering Bot with deployment considerations and production-focused insights.Whether you are a Computer Science student, an aspiring Machine Learning engineer, a software developer transitioning into AI, or a researcher looking for a practical implementation guide, this book provides the strong foundation needed to confidently build and experiment with modern language models.By the end of this journey, you will not only understand how language models work you will possess the practical skills to design, train, customize, and deploy your own intelligent AI systems from scratch using PyTorch.No magic. No black boxes. Just real understanding, practical coding, and modern AI engineering. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

N° de ref. del artículo 9798180851215

Título
Small Language Models with PyTorch (Paperback)
Autor
Isaac Rowan
Editorial
Independently Published
Año de publicación
2026
Estado
new
Encuadernación
Paperback
Idioma
inglés
ISBN 13
9798180851215

Grand Eagle Retail

Bensenville, IL, Estados Unidos de America

Vendedor de 5 estrellas

Vendedor de IberLibro desde 12 de octubre de 2005

Tarifas de envío en Estados Unidos de America

ArtículoDe 6 a 14 días hábilesDe 6 a 16 días hábiles
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